Question: who was sir walter raleigh and what did he do

You are a graph analyst and you have been given a graph G among "walter raleigh", "united states of america", "north carolina", "sir walter raleigh", "england", "west virginia", "united kingdom", "elizabeth i of england", "south west england", "ben jonson", "christopher marlowe", "english renaissance", "walter raleigh a favorite of queen elizabeth i of england", "works of sir walter raleigh". G has the following directed edges: "walter raleigh"-(people.person.nationality)->"england", "walter raleigh"-(book.author.works_written)->"works of sir walter raleigh", "elizabeth i of england"-(symbols.name_source.namesakes)->"west virginia", "elizabeth i of england"-(people.person.nationality)->"england", "elizabeth i of england"-(base.kwebbase.kwtopic.connections_to)->"walter raleigh a favorite of queen elizabeth i of england", "sir walter raleigh"-(book.written_work.author)->"walter raleigh", "christopher marlowe"-(people.person.nationality)->"england", "christopher marlowe"-(book.author.school_or_movement)->"english renaissance", "united kingdom"-(location.country.first_level_divisions)->"england", "united states of america"-(location.country.first_level_divisions)->"west virginia", "united states of america"-(location.country.first_level_divisions)->"north carolina", "england"-(location.country.first_level_divisions)->"south west england", "ben jonson"-(book.author.school_or_movement)->"english renaissance".

node_id,node_attr
5,walter raleigh
9,united states of america
10,north carolina
14,sir walter raleigh
28,england
34,west virginia
76,united kingdom
84,elizabeth i of england
96,south west england
102,ben jonson
103,christopher marlowe
114,english renaissance
149,walter raleigh a favorite of queen elizabeth i of england
553,works of sir walter raleigh

src,edge_attr,dst
5,people.person.nationality,28
84,symbols.name_source.namesakes,34
14,book.written_work.author,5
5,book.author.works_written,553
84,people.person.nationality,28
84,base.kwebbase.kwtopic.connections_to,149
103,people.person.nationality,28
76,location.country.first_level_divisions,28
103,book.author.school_or_movement,114
9,location.country.first_level_divisions,34
28,location.country.first_level_divisions,96
102,book.author.school_or_movement,114
9,location.country.first_level_divisions,10

G describes a graph among nodes "walter raleigh", "united states of america", "north carolina", "sir walter raleigh", "england", "west virginia", "united kingdom", "elizabeth i of england", "south west england", "ben jonson", "christopher marlowe", "english renaissance", "walter raleigh a favorite of queen elizabeth i of england", "works of sir walter raleigh".In this graph: Node "walter raleigh" has outgoing edges to: "england" with relation "people.person.nationality". Node "walter raleigh" has outgoing edges to: "works of sir walter raleigh" with relation "book.author.works_written". Node "elizabeth i of england" has outgoing edges to: "west virginia" with relation "symbols.name_source.namesakes". Node "elizabeth i of england" has outgoing edges to: "england" with relation "people.person.nationality". Node "elizabeth i of england" has outgoing edges to: "walter raleigh a favorite of queen elizabeth i of england" with relation "base.kwebbase.kwtopic.connections_to". Node "sir walter raleigh" has outgoing edges to: "walter raleigh" with relation "book.written_work.author". Node "christopher marlowe" has outgoing edges to: "england" with relation "people.person.nationality". Node "christopher marlowe" has outgoing edges to: "english renaissance" with relation "book.author.school_or_movement". Node "united kingdom" has outgoing edges to: "england" with relation "location.country.first_level_divisions". Node "united states of america" has outgoing edges to: "west virginia", "north carolina" with relation "location.country.first_level_divisions". Node "england" has outgoing edges to: "south west england" with relation "location.country.first_level_divisions". Node "ben jonson" has outgoing edges to: "english renaissance" with relation "book.author.school_or_movement".

("walter raleigh", "people.person.nationality", "england"), ("walter raleigh", "book.author.works_written", "works of sir walter raleigh"), ("elizabeth i of england", "symbols.name_source.namesakes", "west virginia"), ("elizabeth i of england", "people.person.nationality", "england"), ("elizabeth i of england", "base.kwebbase.kwtopic.connections_to", "walter raleigh a favorite of queen elizabeth i of england"), ("sir walter raleigh", "book.written_work.author", "walter raleigh"), ("christopher marlowe", "people.person.nationality", "england"), ("christopher marlowe", "book.author.school_or_movement", "english renaissance"), ("united kingdom", "location.country.first_level_divisions", "england"), ("united states of america", "location.country.first_level_divisions", "west virginia"), ("united states of america", "location.country.first_level_divisions", "north carolina"), ("england", "location.country.first_level_divisions", "south west england"), ("ben jonson", "book.author.school_or_movement", "english renaissance")

Walter Raleigh, an English national, authored "Works of Sir Walter Raleigh" and was a favorite of Queen Elizabeth I of England, who also held English nationality and is namesaked in West Virginia.  Sir Walter Raleigh,  along with Christopher Marlowe and Ben Jonson, both English figures associated with the English Renaissance,  and Elizabeth I,  are connected to England, which encompasses South West England as a first-level division. The United Kingdom, of which England is a first-level division,  and the United States of America, which includes West Virginia and North Carolina as first-level divisions,  are geographically distinct from these English figures and their context.

Sir Walter Raleigh was an Englishman favored by Queen Elizabeth I of England. He authored works compiled in "Works of Sir Walter Raleigh." Raleigh's connection to Elizabeth I highlights his significant role during her reign.

Sir Walter Raleigh was an Englishman who was a favorite of Queen Elizabeth I of England and authored works such as "Works of Sir Walter Raleigh." His activities and prominence were centered in England, particularly under the reign of Elizabeth I.

Sir Walter Raleigh, an Englishman from South West England, was a notable figure favored by Queen Elizabeth I of England. He authored works collected in "Works of Sir Walter Raleigh."

Sir Walter Raleigh was an English national known for his works compiled in "works of Sir Walter Raleigh." He was a favorite of Queen Elizabeth I of England, indicating his significant influence and favor during her reign.

Sir Walter Raleigh was an Englishman known for his works compiled in "works of sir walter raleigh." He was a favorite of Queen Elizabeth I of England, also English, and his activities and writings placed him prominently within English Renaissance literary circles alongside figures like Christopher Marlowe and Ben Jonson.


Question: what countries are in the euro dollar

You are a graph analyst and you have been given a graph G among "estonia", "finland", "germany", "san marino", "caribbean special municipalities of the netherlands", "guadeloupe", "euro", "portugal", "netherlands", "lithuania", "united states dollar", "bonaire", "european union", "euro coins". G has the following directed edges: "euro"-(common.topic.image)->"euro coins", "euro"-(finance.currency.countries_used)->"san marino", "euro"-(finance.currency.countries_used)->"lithuania", "euro"-(finance.currency.countries_used)->"guadeloupe", "euro"-(finance.currency.countries_used)->"finland", "euro"-(finance.currency.countries_used)->"portugal", "euro"-(finance.currency.countries_used)->"germany", "euro"-(finance.currency.countries_used)->"caribbean special municipalities of the netherlands", "euro"-(finance.currency.countries_used)->"estonia", "germany"-(organization.organization_founder.organizations_founded)->"european union", "united states dollar"-(finance.currency.countries_used)->"netherlands", "united states dollar"-(finance.currency.countries_used)->"bonaire", "united states dollar"-(finance.currency.countries_used)->"caribbean special municipalities of the netherlands".

node_id,node_attr
0,estonia
34,finland
39,germany
56,san marino
59,caribbean special municipalities of the netherlands
65,guadeloupe
73,euro
89,portugal
130,netherlands
153,lithuania
175,united states dollar
204,bonaire
348,european union
852,euro coins

src,edge_attr,dst
73,common.topic.image,852
39,organization.organization_founder.organizations_founded,348
73,finance.currency.countries_used,56
73,finance.currency.countries_used,153
175,finance.currency.countries_used,130
73,finance.currency.countries_used,65
73,finance.currency.countries_used,34
73,finance.currency.countries_used,89
73,finance.currency.countries_used,39
73,finance.currency.countries_used,59
73,finance.currency.countries_used,0
175,finance.currency.countries_used,204
175,finance.currency.countries_used,59

G describes a graph among nodes "estonia", "finland", "germany", "san marino", "caribbean special municipalities of the netherlands", "guadeloupe", "euro", "portugal", "netherlands", "lithuania", "united states dollar", "bonaire", "european union", "euro coins".In this graph: Node "euro" has outgoing edges to: "euro coins" with relation "common.topic.image". Node "euro" has outgoing edges to: "san marino", "lithuania", "guadeloupe", "finland", "portugal", "germany", "caribbean special municipalities of the netherlands", "estonia" with relation "finance.currency.countries_used". Node "germany" has outgoing edges to: "european union" with relation "organization.organization_founder.organizations_founded". Node "united states dollar" has outgoing edges to: "netherlands", "bonaire", "caribbean special municipalities of the netherlands" with relation "finance.currency.countries_used".

("euro", "common.topic.image", "euro coins"), ("euro", "finance.currency.countries_used", "san marino"), ("euro", "finance.currency.countries_used", "lithuania"), ("euro", "finance.currency.countries_used", "guadeloupe"), ("euro", "finance.currency.countries_used", "finland"), ("euro", "finance.currency.countries_used", "portugal"), ("euro", "finance.currency.countries_used", "germany"), ("euro", "finance.currency.countries_used", "caribbean special municipalities of the netherlands"), ("euro", "finance.currency.countries_used", "estonia"), ("germany", "organization.organization_founder.organizations_founded", "european union"), ("united states dollar", "finance.currency.countries_used", "netherlands"), ("united states dollar", "finance.currency.countries_used", "bonaire"), ("united states dollar", "finance.currency.countries_used", "caribbean special municipalities of the netherlands")

The euro is used by countries including San Marino, Lithuania, Guadeloupe, Finland, Portugal, Germany, the Caribbean special municipalities of the Netherlands, Estonia, and is associated with common topics like euro coins. Germany founded the European Union, while the United States dollar is used in the Netherlands, Bonaire, and the Caribbean special municipalities of the Netherlands.

The Euro dollar is used in the following countries and territories: San Marino, Lithuania, Guadeloupe, Finland, Portugal, Germany, Caribbean special municipalities of the Netherlands, Estonia, and parts of the Netherlands including Bonaire. Note that while the Netherlands itself uses the Euro, the graph also incorrectly lists the United States Dollar for some Dutch Caribbean territories, which is not relevant to the Euro usage.

The Euro is used in the following countries and territories: Germany, Portugal, Finland, Estonia, Lithuania, San Marino, Guadeloupe, and the Caribbean special municipalities of the Netherlands. Notably, while the Netherlands is listed under territories using the United States dollar, its European territory uses the Euro.

The Euro is used in several countries including Germany, Portugal, Finland, Estonia, Lithuania, San Marino, and parts of the Caribbean such as Guadeloupe and the Caribbean special municipalities of the Netherlands. Notably, while the Netherlands territories use the Euro, the main Netherlands still recognizes the United States Dollar alongside other currencies, but for the context of Euro usage, these specific territories are listed.

The Euro is used in the following countries and territories: Germany, Portugal, Finland, Estonia, Lithuania, San Marino, Guadeloupe, and the Caribbean special municipalities of the Netherlands. Notably, while the Netherlands uses the Euro, some of its Caribbean special municipalities also have currency ties to the United States dollar according to additional data, but for the Euro specifically, they are included in its usage area.

The countries using the euro include Germany, Portugal, Finland, Estonia, Lithuania, San Marino, Guadeloupe, and the Caribbean special municipalities of the Netherlands.


Question: what currency can you use in barbados

You are a graph analyst and you have been given a graph G among "barbados island", "barbados", "locationbarbados", "barbadian dollar". G has the following directed edges: "locationbarbados"-(common.image.appears_in_topic_gallery)->"barbados", "barbados"-(location.location.contains)->"barbados island", "barbadian dollar"-(finance.currency.countries_used)->"barbados".

node_id,node_attr
3,barbados island
17,barbados
265,locationbarbados
382,barbadian dollar

src,edge_attr,dst
265,common.image.appears_in_topic_gallery,17
17,location.location.contains,3
382,finance.currency.countries_used,17

G describes a graph among nodes "barbados island", "barbados", "locationbarbados", "barbadian dollar".In this graph: Node "locationbarbados" has outgoing edges to: "barbados" with relation "common.image.appears_in_topic_gallery". Node "barbados" has outgoing edges to: "barbados island" with relation "location.location.contains". Node "barbadian dollar" has outgoing edges to: "barbados" with relation "finance.currency.countries_used".

("locationbarbados", "common.image.appears_in_topic_gallery", "barbados"), ("barbados", "location.location.contains", "barbados island"), ("barbadian dollar", "finance.currency.countries_used", "barbados")

The image common in the topic gallery appears in relation to Barbados, which contains Barbados Island. The Barbadian dollar is used as the currency in Barbados.

The currency used in Barbados is the Barbadian dollar.


Question: who is angelina jolie

You are a graph analyst and you have been given a graph G among "angelina jolie", "m.0jt6fd", "m.0jyy0z", "m.04m51zy", "m.0zd04h7", "m.0cg6660", "m.0k574j", "m.0k41sq", "m.0704ms7", "m.0cg7p51", "m.0j_s88", "m.0cw0rh4", "m.0j_sb0", "m.0hgcgr_", "m.0jz20l", "m.0k0wf0", "m.02vczf7", "m.0h2kqdm", "angelina jolie photo 1.jpg", "m.0k4k2t", "m.0gwsslg", "m.03ldqh6", "m.0w17p2n", "m.0h1qf48", "m.0k1m9c", "m.02vc25x", "m.075j3lw", "m.0k3d7ym", "m.0cg7_y8", "m.0pl5xjf", "m.0jv809", "m.02vd8y4", "m.08czg_4", "m.0k35f2", "m.02vc9kp", "m.0jyt5q", "m.0jv9bt", "m.0jydn6", "m.0k3cb7", "m.03lqz4k", "m.02vbs6z", "m.02nrcwf", "m.02vbn2z", "angelina_jolie.jpg", "m.0j__jk", "m.03kxvhb", "m.0k2693", "m.086_rjx", "m.0w17ngm", "m.0gwssbv", "m.0gwssl_", "m.05tf7mr". G has the following directed edges: "angelina_jolie.jpg"-(common.image.appears_in_topic_gallery)->"angelina jolie", "angelina jolie"-(common.topic.image)->"angelina jolie photo 1.jpg", "m.0jt6fd"-(film.performance.actor)->"angelina jolie", "m.0k41sq"-(film.performance.actor)->"angelina jolie", "m.04m51zy"-(film.performance.actor)->"angelina jolie", "m.0jz20l"-(film.performance.actor)->"angelina jolie", "m.0k1m9c"-(film.performance.actor)->"angelina jolie", "m.0k3d7ym"-(film.performance.actor)->"angelina jolie", "m.0pl5xjf"-(film.performance.actor)->"angelina jolie", "m.0j_sb0"-(film.performance.actor)->"angelina jolie", "m.0jyt5q"-(film.performance.actor)->"angelina jolie", "m.0jydn6"-(film.performance.actor)->"angelina jolie", "m.03lqz4k"-(film.performance.actor)->"angelina jolie", "m.0k0wf0"-(film.performance.actor)->"angelina jolie", "m.0jyy0z"-(film.performance.actor)->"angelina jolie", "m.0zd04h7"-(film.performance.actor)->"angelina jolie", "m.02vbn2z"-(film.performance.actor)->"angelina jolie", "m.086_rjx"-(film.performance.actor)->"angelina jolie", "m.0w17ngm"-(film.performance.actor)->"angelina jolie", "m.02vbs6z"-(film.performance.actor)->"angelina jolie", "m.0jv9bt"-(film.performance.actor)->"angelina jolie", "m.0cg6660"-(film.performance.actor)->"angelina jolie", "m.0jv809"-(film.performance.actor)->"angelina jolie", "m.075j3lw"-(film.performance.actor)->"angelina jolie", "m.0k2693"-(film.performance.actor)->"angelina jolie", "m.0k35f2"-(film.performance.actor)->"angelina jolie", "m.0cw0rh4"-(film.performance.actor)->"angelina jolie", "m.02nrcwf"-(film.performance.actor)->"angelina jolie", "m.02vczf7"-(film.performance.actor)->"angelina jolie", "m.03kxvhb"-(film.performance.actor)->"angelina jolie", "m.0w17p2n"-(film.performance.actor)->"angelina jolie", "m.0h1qf48"-(film.performance.actor)->"angelina jolie", "m.02vd8y4"-(film.performance.actor)->"angelina jolie", "m.0j__jk"-(film.performance.actor)->"angelina jolie", "m.02vc25x"-(film.performance.actor)->"angelina jolie", "m.08czg_4"-(film.performance.actor)->"angelina jolie", "m.0k4k2t"-(film.performance.actor)->"angelina jolie", "m.0cg7p51"-(film.performance.actor)->"angelina jolie", "m.05tf7mr"-(film.performance.actor)->"angelina jolie", "m.0k574j"-(film.performance.actor)->"angelina jolie", "m.0k3cb7"-(film.performance.actor)->"angelina jolie", "m.02vc9kp"-(film.performance.actor)->"angelina jolie", "m.0h2kqdm"-(film.performance.actor)->"angelina jolie", "m.0cg7_y8"-(film.performance.actor)->"angelina jolie", "m.0hgcgr_"-(film.performance.actor)->"angelina jolie", "m.0704ms7"-(film.performance.actor)->"angelina jolie", "m.0gwssbv"-(film.performance.actor)->"angelina jolie", "m.0j_s88"-(film.performance.actor)->"angelina jolie", "m.0gwssl_"-(film.performance.actor)->"angelina jolie", "m.03ldqh6"-(film.performance.actor)->"angelina jolie", "m.0gwsslg"-(film.performance.actor)->"angelina jolie".

Voice Actor
Actor
Author
Writer
Model
Screenwriter
Film director
Film Producer

node_id,node_attr
4,angelina jolie
27,m.0jt6fd
148,m.0jyy0z
150,m.04m51zy
151,m.0zd04h7
160,m.0cg6660
198,m.0k574j
203,m.0k41sq
212,m.0704ms7
223,m.0cg7p51
234,m.0j_s88
241,m.0cw0rh4
244,m.0j_sb0
270,m.0hgcgr_
280,m.0jz20l
296,m.0k0wf0
304,m.02vczf7
325,m.0h2kqdm
349,angelina jolie photo 1.jpg
354,m.0k4k2t
358,m.0gwsslg
381,m.03ldqh6
385,m.0w17p2n
425,m.0h1qf48
430,m.0k1m9c
444,m.02vc25x
491,m.075j3lw
525,m.0k3d7ym
551,m.0cg7_y8
552,m.0pl5xjf
569,m.0jv809
574,m.02vd8y4
580,m.08czg_4
641,m.0k35f2
668,m.02vc9kp
673,m.0jyt5q
696,m.0jv9bt
727,m.0jydn6
734,m.0k3cb7
767,m.03lqz4k
788,m.02vbs6z
789,m.02nrcwf
799,m.02vbn2z
820,angelina_jolie.jpg
872,m.0j__jk
876,m.03kxvhb
890,m.0k2693
910,m.086_rjx
945,m.0w17ngm
983,m.0gwssbv
1170,m.0gwssl_
1197,m.05tf7mr

src,edge_attr,dst
820,common.image.appears_in_topic_gallery,4
4,common.topic.image,349
27,film.performance.actor,4
203,film.performance.actor,4
150,film.performance.actor,4
280,film.performance.actor,4
430,film.performance.actor,4
525,film.performance.actor,4
552,film.performance.actor,4
244,film.performance.actor,4
673,film.performance.actor,4
727,film.performance.actor,4
767,film.performance.actor,4
296,film.performance.actor,4
148,film.performance.actor,4
151,film.performance.actor,4
799,film.performance.actor,4
910,film.performance.actor,4
945,film.performance.actor,4
788,film.performance.actor,4
696,film.performance.actor,4
160,film.performance.actor,4
569,film.performance.actor,4
491,film.performance.actor,4
890,film.performance.actor,4
641,film.performance.actor,4
241,film.performance.actor,4
789,film.performance.actor,4
304,film.performance.actor,4
876,film.performance.actor,4
385,film.performance.actor,4
425,film.performance.actor,4
574,film.performance.actor,4
872,film.performance.actor,4
444,film.performance.actor,4
580,film.performance.actor,4
354,film.performance.actor,4
223,film.performance.actor,4
1197,film.performance.actor,4
198,film.performance.actor,4
734,film.performance.actor,4
668,film.performance.actor,4
325,film.performance.actor,4
551,film.performance.actor,4
270,film.performance.actor,4
212,film.performance.actor,4
983,film.performance.actor,4
234,film.performance.actor,4
1170,film.performance.actor,4
381,film.performance.actor,4
358,film.performance.actor,4

G describes a graph among nodes "angelina jolie", "m.0jt6fd", "m.0jyy0z", "m.04m51zy", "m.0zd04h7", "m.0cg6660", "m.0k574j", "m.0k41sq", "m.0704ms7", "m.0cg7p51", "m.0j_s88", "m.0cw0rh4", "m.0j_sb0", "m.0hgcgr_", "m.0jz20l", "m.0k0wf0", "m.02vczf7", "m.0h2kqdm", "angelina jolie photo 1.jpg", "m.0k4k2t", "m.0gwsslg", "m.03ldqh6", "m.0w17p2n", "m.0h1qf48", "m.0k1m9c", "m.02vc25x", "m.075j3lw", "m.0k3d7ym", "m.0cg7_y8", "m.0pl5xjf", "m.0jv809", "m.02vd8y4", "m.08czg_4", "m.0k35f2", "m.02vc9kp", "m.0jyt5q", "m.0jv9bt", "m.0jydn6", "m.0k3cb7", "m.03lqz4k", "m.02vbs6z", "m.02nrcwf", "m.02vbn2z", "angelina_jolie.jpg", "m.0j__jk", "m.03kxvhb", "m.0k2693", "m.086_rjx", "m.0w17ngm", "m.0gwssbv", "m.0gwssl_", "m.05tf7mr".In this graph: Node "angelina_jolie.jpg" has outgoing edges to: "angelina jolie" with relation "common.image.appears_in_topic_gallery". Node "angelina jolie" has outgoing edges to: "angelina jolie photo 1.jpg" with relation "common.topic.image". Node "m.0jt6fd" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0k41sq" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.04m51zy" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0jz20l" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0k1m9c" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0k3d7ym" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0pl5xjf" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0j_sb0" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0jyt5q" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0jydn6" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.03lqz4k" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0k0wf0" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0jyy0z" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0zd04h7" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.02vbn2z" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.086_rjx" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0w17ngm" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.02vbs6z" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0jv9bt" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0cg6660" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0jv809" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.075j3lw" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0k2693" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0k35f2" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0cw0rh4" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.02nrcwf" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.02vczf7" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.03kxvhb" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0w17p2n" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0h1qf48" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.02vd8y4" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0j__jk" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.02vc25x" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.08czg_4" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0k4k2t" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0cg7p51" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.05tf7mr" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0k574j" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0k3cb7" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.02vc9kp" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0h2kqdm" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0cg7_y8" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0hgcgr_" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0704ms7" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0gwssbv" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0j_s88" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0gwssl_" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.03ldqh6" has outgoing edges to: "angelina jolie" with relation "film.performance.actor". Node "m.0gwsslg" has outgoing edges to: "angelina jolie" with relation "film.performance.actor".

("angelina_jolie.jpg", "common.image.appears_in_topic_gallery", "angelina jolie"), ("angelina jolie", "common.topic.image", "angelina jolie photo 1.jpg"), ("m.0jt6fd", "film.performance.actor", "angelina jolie"), ("m.0k41sq", "film.performance.actor", "angelina jolie"), ("m.04m51zy", "film.performance.actor", "angelina jolie"), ("m.0jz20l", "film.performance.actor", "angelina jolie"), ("m.0k1m9c", "film.performance.actor", "angelina jolie"), ("m.0k3d7ym", "film.performance.actor", "angelina jolie"), ("m.0pl5xjf", "film.performance.actor", "angelina jolie"), ("m.0j_sb0", "film.performance.actor", "angelina jolie"), ("m.0jyt5q", "film.performance.actor", "angelina jolie"), ("m.0jydn6", "film.performance.actor", "angelina jolie"), ("m.03lqz4k", "film.performance.actor", "angelina jolie"), ("m.0k0wf0", "film.performance.actor", "angelina jolie"), ("m.0jyy0z", "film.performance.actor", "angelina jolie"), ("m.0zd04h7", "film.performance.actor", "angelina jolie"), ("m.02vbn2z", "film.performance.actor", "angelina jolie"), ("m.086_rjx", "film.performance.actor", "angelina jolie"), ("m.0w17ngm", "film.performance.actor", "angelina jolie"), ("m.02vbs6z", "film.performance.actor", "angelina jolie"), ("m.0jv9bt", "film.performance.actor", "angelina jolie"), ("m.0cg6660", "film.performance.actor", "angelina jolie"), ("m.0jv809", "film.performance.actor", "angelina jolie"), ("m.075j3lw", "film.performance.actor", "angelina jolie"), ("m.0k2693", "film.performance.actor", "angelina jolie"), ("m.0k35f2", "film.performance.actor", "angelina jolie"), ("m.0cw0rh4", "film.performance.actor", "angelina jolie"), ("m.02nrcwf", "film.performance.actor", "angelina jolie"), ("m.02vczf7", "film.performance.actor", "angelina jolie"), ("m.03kxvhb", "film.performance.actor", "angelina jolie"), ("m.0w17p2n", "film.performance.actor", "angelina jolie"), ("m.0h1qf48", "film.performance.actor", "angelina jolie"), ("m.02vd8y4", "film.performance.actor", "angelina jolie"), ("m.0j__jk", "film.performance.actor", "angelina jolie"), ("m.02vc25x", "film.performance.actor", "angelina jolie"), ("m.08czg_4", "film.performance.actor", "angelina jolie"), ("m.0k4k2t", "film.performance.actor", "angelina jolie"), ("m.0cg7p51", "film.performance.actor", "angelina jolie"), ("m.05tf7mr", "film.performance.actor", "angelina jolie"), ("m.0k574j", "film.performance.actor", "angelina jolie"), ("m.0k3cb7", "film.performance.actor", "angelina jolie"), ("m.02vc9kp", "film.performance.actor", "angelina jolie"), ("m.0h2kqdm", "film.performance.actor", "angelina jolie"), ("m.0cg7_y8", "film.performance.actor", "angelina jolie"), ("m.0hgcgr_", "film.performance.actor", "angelina jolie"), ("m.0704ms7", "film.performance.actor", "angelina jolie"), ("m.0gwssbv", "film.performance.actor", "angelina jolie"), ("m.0j_s88", "film.performance.actor", "angelina jolie"), ("m.0gwssl_", "film.performance.actor", "angelina jolie"), ("m.03ldqh6", "film.performance.actor", "angelina jolie"), ("m.0gwsslg", "film.performance.actor", "angelina jolie")

Angelina Jolie appears in a topic gallery featuring images, including "angelina jolie photo 1.jpg," and has portrayed characters in numerous films identified by various unique identifiers such as m.0jt6fd, m.0k41sq, m.04m51zy, m.0jz20l, m.0k1m9c, m.0k3d7ym, m.0pl5xjf, m.0j_sb0, m.0jyt5q, m.0jydn6, m.03lqz4k, m.0k0wf0, m.0jyy0z, m.0zd04h7, m.02vbn2z, m.086_rjx, m.0w17ngm, m.02vbs6z, m.0jv9bt, m.0cg6660, m.0jv809, m.075j3lw, m.0k2693, m.0k35f2, m.0cw0rh4, m.02nrcwf, m.02vczf7, m.03kxvhb, m.0w17p2n, m.0h1qf48

Angelina Jolie is a recognized figure with a gallery image titled "angelina_jolie.jpg" and is prominently documented for her acting performances in numerous films, indicated by her listed roles across multiple entries under "film.performance.actor".

Angelina Jolie is a recognized actress featured in multiple film performances, with extensive credits spanning various roles across numerous movies, as indicated by her association with over thirty distinct film entries listed under her name.

Angelina Jolie is an actress who has portrayed roles in numerous films, evidenced by her listed performances across multiple film entries including titles such as "Maleficent" (m.0jt6fd), "Lara Croft: Tomb Raider" (m.0k41sq), and "Mr. & Mrs. Smith" (m.04m51zy), among others, showcasing her extensive career in the film industry.

Angelina Jolie is a recognized actor featured in numerous film performances, including roles associated with identifiers such as "m.0jt6fd" through "m.02vc25x", indicating her extensive career in the film industry. She has an image associated with her topic gallery titled "angelina_jolie.jpg".

Angelina Jolie is a recognized actor with performances credited across numerous films, including roles identified by unique identifiers such as "m.0jt6fd", "m.0k41sq", through to "m.02vc25x", indicating her extensive career in the film industry.


Question: where is nineveh city

You are a graph analyst and you have been given a graph G among "iraq", "battle of nineveh", "babylon", "nineveh", "nineveh governorate", "tigris", "mosul", "baghdad", "shatt al-arab", "euphrates", "baghdad governorate", "m.0wmqgj4". G has the following directed edges: "nineveh governorate"-(location.location.contains)->"nineveh", "nineveh governorate"-(location.administrative_division.capital)->"mosul", "nineveh governorate"-(location.location.geolocation)->"m.0wmqgj4", "shatt al-arab"-(geography.river.basin_countries)->"iraq", "shatt al-arab"-(geography.river.origin)->"tigris", "shatt al-arab"-(geography.river.origin)->"euphrates", "mosul"-(location.location.containedby)->"iraq", "babylon"-(location.location.containedby)->"iraq", "babylon"-(location.country.capital)->"babylon", "battle of nineveh"-(time.event.locations)->"nineveh", "baghdad governorate"-(location.administrative_division.capital)->"baghdad", "iraq"-(location.country.capital)->"baghdad".

node_id,node_attr
0,iraq
18,battle of nineveh
29,babylon
44,nineveh
135,nineveh governorate
143,tigris
200,mosul
262,baghdad
271,shatt al-arab
361,euphrates
367,baghdad governorate
1436,m.0wmqgj4

src,edge_attr,dst
135,location.location.contains,44
271,geography.river.basin_countries,0
200,location.location.containedby,0
29,location.location.containedby,0
18,time.event.locations,44
29,location.country.capital,29
135,location.administrative_division.capital,200
271,geography.river.origin,143
367,location.administrative_division.capital,262
271,geography.river.origin,361
0,location.country.capital,262
135,location.location.geolocation,1436

G describes a graph among nodes "iraq", "battle of nineveh", "babylon", "nineveh", "nineveh governorate", "tigris", "mosul", "baghdad", "shatt al-arab", "euphrates", "baghdad governorate", "m.0wmqgj4".In this graph: Node "nineveh governorate" has outgoing edges to: "nineveh" with relation "location.location.contains". Node "nineveh governorate" has outgoing edges to: "mosul" with relation "location.administrative_division.capital". Node "nineveh governorate" has outgoing edges to: "m.0wmqgj4" with relation "location.location.geolocation". Node "shatt al-arab" has outgoing edges to: "iraq" with relation "geography.river.basin_countries". Node "shatt al-arab" has outgoing edges to: "tigris", "euphrates" with relation "geography.river.origin". Node "mosul" has outgoing edges to: "iraq" with relation "location.location.containedby". Node "babylon" has outgoing edges to: "iraq" with relation "location.location.containedby". Node "babylon" has outgoing edges to: "babylon" with relation "location.country.capital". Node "battle of nineveh" has outgoing edges to: "nineveh" with relation "time.event.locations". Node "baghdad governorate" has outgoing edges to: "baghdad" with relation "location.administrative_division.capital". Node "iraq" has outgoing edges to: "baghdad" with relation "location.country.capital".

("nineveh governorate", "location.location.contains", "nineveh"), ("nineveh governorate", "location.administrative_division.capital", "mosul"), ("nineveh governorate", "location.location.geolocation", "m.0wmqgj4"), ("shatt al-arab", "geography.river.basin_countries", "iraq"), ("shatt al-arab", "geography.river.origin", "tigris"), ("shatt al-arab", "geography.river.origin", "euphrates"), ("mosul", "location.location.containedby", "iraq"), ("babylon", "location.location.containedby", "iraq"), ("babylon", "location.country.capital", "babylon"), ("battle of nineveh", "time.event.locations", "nineveh"), ("baghdad governorate", "location.administrative_division.capital", "baghdad"), ("iraq", "location.country.capital", "baghdad")

Nineveh Governorate, located in Iraq and containing Mosul as its capital, is geolocated at m.0wmqgj4. The Shatt al-Arab river, originating from both the Tigris and Euphrates, flows through Iraq. Mosul is situated within Iraq, as is Babylon, which historically served as its capital. The Battle of Nineveh took place in Nineveh. Baghdad, the capital of Iraq, also heads Baghdad Governorate.

Nineveh is located within Nineveh Governorate, Iraq, with Mosul serving as the capital of Nineveh Governorate. The geolocation identifier for Nineveh Governorate is m.0wmqgj4.

Nineveh is located within Nineveh Governorate, Iraq, with Mosul serving as the capital of the governorate. Geographically, Nineveh Governorate contains the area associated with the ancient city of Nineveh, which historically was significant during events such as the Battle of Nineveh.

Nineveh is located within the Nineveh Governorate of Iraq, with Mosul serving as the capital of this governorate. The geolocation identifier for Nineveh Governorate is m.0wmqgj4. Historically, Nineveh was the site of significant events, including the Battle of Nineveh.

Nineveh is located within Nineveh Governorate, Iraq, with Mosul serving as the capital of the governorate. The historical context also places Nineveh at the site of an ancient city where the Battle of Nineveh took place. Geographically, Nineveh Governorate is part of Iraq, with Baghdad being the capital of the country.

Nineveh is located within Nineveh Governorate, Iraq, with Mosul serving as the capital of Nineveh Governorate. The governorate's geolocation is centered near Mosul. Historically, Nineveh was also the site of significant events, such as the Battle of Nineveh.


Question: what is the state flower of new mexico

You are a graph analyst and you have been given a graph G among "new mexico", "united states of america", "secretary of state of new mexico", "santa fe", "oklahoma", "m.0hzbf17", "flag of new mexico", "m.0jspp1s", "oklahoma city", "state flower". G has the following directed edges: "new mexico"-(base.biblioness.bibs_location.country)->"united states of america", "new mexico"-(symbols.flag_referent.flag)->"m.0jspp1s", "new mexico"-(government.governmental_jurisdiction.government_positions)->"secretary of state of new mexico", "new mexico"-(government.governmental_jurisdiction.official_symbols)->"m.0hzbf17", "new mexico"-(location.us_state.capital)->"santa fe", "oklahoma"-(location.location.containedby)->"united states of america", "oklahoma"-(location.us_state.capital)->"oklahoma city", "m.0jspp1s"-(symbols.flag_use.flag)->"flag of new mexico", "state flower"-(location.offical_symbol_variety.symbols_of_this_kind)->"m.0hzbf17".

node_id,node_attr
9,new mexico
29,united states of america
59,secretary of state of new mexico
131,santa fe
225,oklahoma
393,m.0hzbf17
609,flag of new mexico
610,m.0jspp1s
685,oklahoma city
1732,state flower

src,edge_attr,dst
9,base.biblioness.bibs_location.country,29
225,location.location.containedby,29
9,symbols.flag_referent.flag,610
9,government.governmental_jurisdiction.government_positions,59
610,symbols.flag_use.flag,609
1732,location.offical_symbol_variety.symbols_of_this_kind,393
9,government.governmental_jurisdiction.official_symbols,393
225,location.us_state.capital,685
9,location.us_state.capital,131

G describes a graph among nodes "new mexico", "united states of america", "secretary of state of new mexico", "santa fe", "oklahoma", "m.0hzbf17", "flag of new mexico", "m.0jspp1s", "oklahoma city", "state flower".In this graph: Node "new mexico" has outgoing edges to: "united states of america" with relation "base.biblioness.bibs_location.country". Node "new mexico" has outgoing edges to: "m.0jspp1s" with relation "symbols.flag_referent.flag". Node "new mexico" has outgoing edges to: "secretary of state of new mexico" with relation "government.governmental_jurisdiction.government_positions". Node "new mexico" has outgoing edges to: "m.0hzbf17" with relation "government.governmental_jurisdiction.official_symbols". Node "new mexico" has outgoing edges to: "santa fe" with relation "location.us_state.capital". Node "oklahoma" has outgoing edges to: "united states of america" with relation "location.location.containedby". Node "oklahoma" has outgoing edges to: "oklahoma city" with relation "location.us_state.capital". Node "m.0jspp1s" has outgoing edges to: "flag of new mexico" with relation "symbols.flag_use.flag". Node "state flower" has outgoing edges to: "m.0hzbf17" with relation "location.offical_symbol_variety.symbols_of_this_kind".

("new mexico", "base.biblioness.bibs_location.country", "united states of america"), ("new mexico", "symbols.flag_referent.flag", "m.0jspp1s"), ("new mexico", "government.governmental_jurisdiction.government_positions", "secretary of state of new mexico"), ("new mexico", "government.governmental_jurisdiction.official_symbols", "m.0hzbf17"), ("new mexico", "location.us_state.capital", "santa fe"), ("oklahoma", "location.location.containedby", "united states of america"), ("oklahoma", "location.us_state.capital", "oklahoma city"), ("m.0jspp1s", "symbols.flag_use.flag", "flag of new mexico"), ("state flower", "location.offical_symbol_variety.symbols_of_this_kind", "m.0hzbf17")

New Mexico, a state in the United States of America, has Santa Fe as its capital, with its flag represented by m.0jspp1s, symbolizing the flag of New Mexico. The state's official symbols include m.0hzbf17, which also represents the state flower, and it is governed by positions such as the Secretary of State of New Mexico. Oklahoma, another state within the United States of America, has its capital in Oklahoma City.

New Mexico's official symbols include an entry designated "m.0hzbf17" which pertains to official symbols, and given the context, this likely represents the state flower among other symbols, though the specific name of the flower is not directly provided in the graph data.

The state flower of New Mexico is represented under official symbols as m.0hzbf17. However, the specific name of the flower is not provided in the given graph data.

New Mexico's official state flower is represented under the symbol ID "m.0hzbf17", categorized under official symbols of the state.

New Mexico's official symbols include m.0hzbf17, which is categorized under state flowers as an official symbol variety. However, the specific name of the state flower is not directly provided in the graph data.

New Mexico's official state flower is represented by symbol "m.0hzbf17", which is categorized under official symbols of the state.


Question: where is the national ffa foundation located today

You are a graph analyst and you have been given a graph G among "agriculture", "nonprofit organization", "national ffa organization", "virginia", "m.0pqg9g3", "non-profit organization", "m.0wkkztl", "internal revenue service", "mfa incorporated", "polyface farm", ""agricultural, youth development"". G has the following directed edges: "national ffa organization"-(organization.organization.sectors)->"agriculture", "national ffa organization"-(common.topic.notable_types)->"nonprofit organization", "national ffa organization"-(organization.non_profit_organization.registered_with)->"m.0pqg9g3", "national ffa organization"-(organization.organization.headquarters)->"m.0wkkztl", "agriculture"-(business.industry.companies)->"mfa incorporated", "nonprofit organization"-(freebase.type_profile.equivalent_topic)->"non-profit organization", "m.0wkkztl"-(location.mailing_address.state_province_region)->"virginia", "m.0pqg9g3"-(organization.non_profit_registration.registering_agency)->"internal revenue service", "polyface farm"-(organization.organization.place_founded)->"virginia", ""agricultural, youth development""-(base.schemastaging.non_profit_classification.organizations)->"national ffa organization".

node_id,node_attr
0,agriculture
5,nonprofit organization
21,national ffa organization
39,virginia
63,m.0pqg9g3
67,non-profit organization
71,m.0wkkztl
101,internal revenue service
118,mfa incorporated
141,polyface farm
155,"agricultural, youth development"

src,edge_attr,dst
21,organization.organization.sectors,0
21,common.topic.notable_types,5
0,business.industry.companies,118
5,freebase.type_profile.equivalent_topic,67
71,location.mailing_address.state_province_region,39
21,organization.non_profit_organization.registered_with,63
63,organization.non_profit_registration.registering_agency,101
21,organization.organization.headquarters,71
141,organization.organization.place_founded,39
155,base.schemastaging.non_profit_classification.organizations,21

G describes a graph among nodes "agriculture", "nonprofit organization", "national ffa organization", "virginia", "m.0pqg9g3", "non-profit organization", "m.0wkkztl", "internal revenue service", "mfa incorporated", "polyface farm", ""agricultural, youth development"".In this graph: Node "national ffa organization" has outgoing edges to: "agriculture" with relation "organization.organization.sectors". Node "national ffa organization" has outgoing edges to: "nonprofit organization" with relation "common.topic.notable_types". Node "national ffa organization" has outgoing edges to: "m.0pqg9g3" with relation "organization.non_profit_organization.registered_with". Node "national ffa organization" has outgoing edges to: "m.0wkkztl" with relation "organization.organization.headquarters". Node "agriculture" has outgoing edges to: "mfa incorporated" with relation "business.industry.companies". Node "nonprofit organization" has outgoing edges to: "non-profit organization" with relation "freebase.type_profile.equivalent_topic". Node "m.0wkkztl" has outgoing edges to: "virginia" with relation "location.mailing_address.state_province_region". Node "m.0pqg9g3" has outgoing edges to: "internal revenue service" with relation "organization.non_profit_registration.registering_agency". Node "polyface farm" has outgoing edges to: "virginia" with relation "organization.organization.place_founded". Node ""agricultural, youth development"" has outgoing edges to: "national ffa organization" with relation "base.schemastaging.non_profit_classification.organizations".

("national ffa organization", "organization.organization.sectors", "agriculture"), ("national ffa organization", "common.topic.notable_types", "nonprofit organization"), ("national ffa organization", "organization.non_profit_organization.registered_with", "m.0pqg9g3"), ("national ffa organization", "organization.organization.headquarters", "m.0wkkztl"), ("agriculture", "business.industry.companies", "mfa incorporated"), ("nonprofit organization", "freebase.type_profile.equivalent_topic", "non-profit organization"), ("m.0wkkztl", "location.mailing_address.state_province_region", "virginia"), ("m.0pqg9g3", "organization.non_profit_registration.registering_agency", "internal revenue service"), ("polyface farm", "organization.organization.place_founded", "virginia"), (""agricultural, youth development"", "base.schemastaging.non_profit_classification.organizations", "national ffa organization")

The National FFA Organization, a nonprofit organization registered with the Internal Revenue Service, focuses on agriculture and agricultural youth development. Headquartered in Virginia, it operates under the equivalent profile of a non-profit organization. This entity is associated with companies like MFA Incorporated in the agriculture sector. Additionally, another organization, Polyface Farm, was founded in Virginia, further connecting the region to agricultural endeavors.

The National FFA Organization, a nonprofit organization registered with the Internal Revenue Service, has its headquarters located in Virginia, which implies the National FFA Foundation, closely associated with it, is likely also based in Virginia.

The National FFA Organization's headquarters, as indicated by the graph, is located in Virginia, which implies that the National FFA Foundation, being closely associated with the organization, is also likely located in Virginia today.

The National FFA Organization, a nonprofit organization registered with the Internal Revenue Service, has its headquarters located in Virginia, which aligns with the address identifier "m.0wkkztl" from the data provided. However, it's important to note that specific details pinpointing a unique city or address within Virginia for the National FFA Foundation are not explicitly given in the graph data.

The National FFA Organization's headquarters are located in Virginia, as indicated by the location "m.0wkkztl" being associated with the state province region "virginia". This suggests that the National FFA Foundation, closely related to the National FFA Organization, is also likely located in Virginia.

The National FFA Organization's headquarters, located in Virginia, is associated with the National FFA Foundation, though the foundation's exact mailing address is not separately detailed in the provided graph data.


Question: which countries speak germanic languages

You are a graph analyst and you have been given a graph G among "second polish republic", "uruguay", "italy", "italian language", "cyprus", "german language", "vatican city", "germany", "france", "east germany", "english language", "liechtenstein", "romania", "west germany", "switzerland", "kazakhstan", "poland", "austria", "south africa", "bolivia", "czech republic", "kyrgyzstan", "west germanic languages", "united states of america", "russian language", "chile", "belgium", "paraguay", "spanish language", "swabian german", "luxembourg", "bavarian language", "french", "slovenia", "moldova", "argentina", "belarusian language", "namibia", "england", "philippines", "venezuela", "denmark", "ukraine", ""saxon, upper language"", "canada", "israel", "brazil", "europe germanic languages", "ecuador", "australia", "hebrew language", "puerto rico", "polish language", "ukrainian language", "russia", "yiddish language", "kingdom of bavaria", "germanic languages". G has the following directed edges: "english language"-(language.human_language.language_family)->"west germanic languages", "english language"-(language.human_language.countries_spoken_in)->"vatican city", "english language"-(language.human_language.countries_spoken_in)->"canada", "english language"-(language.human_language.countries_spoken_in)->"puerto rico", "english language"-(language.human_language.countries_spoken_in)->"israel", "english language"-(language.human_language.countries_spoken_in)->"south africa", "english language"-(language.human_language.countries_spoken_in)->"philippines", "english language"-(language.human_language.countries_spoken_in)->"australia", "english language"-(language.human_language.countries_spoken_in)->"england", "english language"-(language.human_language.countries_spoken_in)->"cyprus", "english language"-(language.human_language.countries_spoken_in)->"namibia", "west germanic languages"-(common.topic.image)->"europe germanic languages", "german language"-(language.human_language.language_family)->"germanic languages", "german language"-(language.human_language.countries_spoken_in)->"germany", "german language"-(language.human_language.countries_spoken_in)->"south africa", "german language"-(language.human_language.countries_spoken_in)->"switzerland", "german language"-(language.human_language.countries_spoken_in)->"second polish republic", "german language"-(language.human_language.countries_spoken_in)->"liechtenstein", "german language"-(language.human_language.countries_spoken_in)->"belgium", "german language"-(language.human_language.countries_spoken_in)->"east germany", "german language"-(language.human_language.countries_spoken_in)->"denmark", "german language"-(language.human_language.countries_spoken_in)->"canada", "german language"-(language.human_language.countries_spoken_in)->"luxembourg", "german language"-(language.human_language.countries_spoken_in)->"austria", "german language"-(language.human_language.countries_spoken_in)->"czech republic", "german language"-(language.human_language.countries_spoken_in)->"west germany", "german language"-(language.human_language.countries_spoken_in)->"vatican city", "german language"-(language.human_language.countries_spoken_in)->"cyprus", "italian language"-(language.human_language.countries_spoken_in)->"italy", "italian language"-(language.human_language.countries_spoken_in)->"slovenia", "italian language"-(language.human_language.countries_spoken_in)->"argentina", "italian language"-(language.human_language.countries_spoken_in)->"switzerland", "italian language"-(language.human_language.countries_spoken_in)->"brazil", "italian language"-(language.human_language.countries_spoken_in)->"vatican city", "bavarian language"-(language.human_language.countries_spoken_in)->"germany", "bavarian language"-(language.human_language.countries_spoken_in)->"austria", "bavarian language"-(language.human_language.countries_spoken_in)->"kingdom of bavaria", "polish language"-(language.human_language.countries_spoken_in)->"canada", "polish language"-(language.human_language.countries_spoken_in)->"poland", "polish language"-(language.human_language.countries_spoken_in)->"second polish republic", "polish language"-(language.human_language.countries_spoken_in)->"czech republic", "spanish language"-(language.human_language.countries_spoken_in)->"paraguay", "spanish language"-(language.human_language.countries_spoken_in)->"puerto rico", "spanish language"-(language.human_language.countries_spoken_in)->"chile", "spanish language"-(language.human_language.countries_spoken_in)->"bolivia", "spanish language"-(language.human_language.countries_spoken_in)->"argentina", "spanish language"-(language.human_language.countries_spoken_in)->"vatican city", "spanish language"-(language.human_language.countries_spoken_in)->"venezuela", "spanish language"-(language.human_language.countries_spoken_in)->"united states of america", "spanish language"-(language.human_language.countries_spoken_in)->"canada", "spanish language"-(language.human_language.countries_spoken_in)->"ecuador", "spanish language"-(language.human_language.countries_spoken_in)->"uruguay", "ukrainian language"-(language.human_language.countries_spoken_in)->"kazakhstan", "ukrainian language"-(language.human_language.countries_spoken_in)->"moldova", "ukrainian language"-(language.human_language.countries_spoken_in)->"paraguay", "ukrainian language"-(language.human_language.countries_spoken_in)->"russia", "ukrainian language"-(language.human_language.countries_spoken_in)->"romania", "ukrainian language"-(language.human_language.countries_spoken_in)->"second polish republic", "ukrainian language"-(language.human_language.countries_spoken_in)->"czech republic", "ukrainian language"-(language.human_language.countries_spoken_in)->"ukraine", "swabian german"-(language.human_language.countries_spoken_in)->"kingdom of bavaria", "russian language"-(language.human_language.countries_spoken_in)->"kyrgyzstan", "russian language"-(language.human_language.countries_spoken_in)->"russia", "russian language"-(language.human_language.countries_spoken_in)->"second polish republic", "russian language"-(language.human_language.countries_spoken_in)->"ukraine", "russian language"-(language.human_language.countries_spoken_in)->"czech republic", "russian language"-(language.human_language.countries_spoken_in)->"kazakhstan", "russian language"-(language.human_language.countries_spoken_in)->"moldova", "russian language"-(language.human_language.countries_spoken_in)->"canada", "french"-(language.human_language.countries_spoken_in)->"cyprus", "french"-(language.human_language.countries_spoken_in)->"switzerland", "french"-(language.human_language.countries_spoken_in)->"luxembourg", "french"-(language.human_language.countries_spoken_in)->"france", "french"-(language.human_language.countries_spoken_in)->"vatican city", "french"-(language.human_language.countries_spoken_in)->"belgium", "yiddish language"-(language.human_language.countries_spoken_in)->"argentina", "yiddish language"-(language.human_language.countries_spoken_in)->"moldova", "yiddish language"-(language.human_language.countries_spoken_in)->"israel", "yiddish language"-(language.human_language.countries_spoken_in)->"russia", "yiddish language"-(language.human_language.countries_spoken_in)->"second polish republic", "hebrew language"-(language.human_language.countries_spoken_in)->"israel", "hebrew language"-(language.human_language.countries_spoken_in)->"south africa", ""saxon, upper language""-(language.human_language.countries_spoken_in)->"germany", "belarusian language"-(language.human_language.countries_spoken_in)->"second polish republic".

Belgium
Germany
Switzerland
East Germany
Austria
Luxembourg
Liechtenstein

node_id,node_attr
1,second polish republic
4,uruguay
7,italy
8,italian language
13,cyprus
16,german language
18,vatican city
25,germany
29,france
30,east germany
49,english language
50,liechtenstein
53,romania
55,west germany
59,switzerland
64,kazakhstan
65,poland
67,austria
74,south africa
81,bolivia
82,czech republic
92,kyrgyzstan
104,west germanic languages
109,united states of america
116,russian language
119,chile
130,belgium
134,paraguay
135,spanish language
140,swabian german
141,luxembourg
143,bavarian language
149,french
154,slovenia
167,moldova
168,argentina
175,belarusian language
177,namibia
178,england
188,philippines
194,venezuela
199,denmark
212,ukraine
224,"saxon, upper language"
227,canada
240,israel
267,brazil
284,europe germanic languages
313,ecuador
324,australia
357,hebrew language
377,puerto rico
378,polish language
412,ukrainian language
437,russia
438,yiddish language
518,kingdom of bavaria
520,germanic languages

src,edge_attr,dst
49,language.human_language.language_family,104
104,common.topic.image,284
16,language.human_language.language_family,520
16,language.human_language.countries_spoken_in,25
16,language.human_language.countries_spoken_in,74
16,language.human_language.countries_spoken_in,59
16,language.human_language.countries_spoken_in,1
16,language.human_language.countries_spoken_in,50
8,language.human_language.countries_spoken_in,7
16,language.human_language.countries_spoken_in,130
143,language.human_language.countries_spoken_in,25
8,language.human_language.countries_spoken_in,154
143,language.human_language.countries_spoken_in,67
378,language.human_language.countries_spoken_in,227
16,language.human_language.countries_spoken_in,30
135,language.human_language.countries_spoken_in,134
16,language.human_language.countries_spoken_in,199
412,language.human_language.countries_spoken_in,64
16,language.human_language.countries_spoken_in,227
140,language.human_language.countries_spoken_in,518
8,language.human_language.countries_spoken_in,168
49,language.human_language.countries_spoken_in,18
116,language.human_language.countries_spoken_in,92
135,language.human_language.countries_spoken_in,377
412,language.human_language.countries_spoken_in,167
116,language.human_language.countries_spoken_in,437
135,language.human_language.countries_spoken_in,119
135,language.human_language.countries_spoken_in,81
378,language.human_language.countries_spoken_in,65
16,language.human_language.countries_spoken_in,141
116,language.human_language.countries_spoken_in,1
149,language.human_language.countries_spoken_in,13
116,language.human_language.countries_spoken_in,212
116,language.human_language.countries_spoken_in,82
143,language.human_language.countries_spoken_in,518
412,language.human_language.countries_spoken_in,134
412,language.human_language.countries_spoken_in,437
135,language.human_language.countries_spoken_in,168
378,language.human_language.countries_spoken_in,1
49,language.human_language.countries_spoken_in,227
116,language.human_language.countries_spoken_in,64
135,language.human_language.countries_spoken_in,18
135,language.human_language.countries_spoken_in,194
135,language.human_language.countries_spoken_in,109
8,language.human_language.countries_spoken_in,59
16,language.human_language.countries_spoken_in,67
49,language.human_language.countries_spoken_in,377
49,language.human_language.countries_spoken_in,240
149,language.human_language.countries_spoken_in,59
49,language.human_language.countries_spoken_in,74
378,language.human_language.countries_spoken_in,82
16,language.human_language.countries_spoken_in,82
135,language.human_language.countries_spoken_in,227
49,language.human_language.countries_spoken_in,188
135,language.human_language.countries_spoken_in,313
16,language.human_language.countries_spoken_in,55
8,language.human_language.countries_spoken_in,267
49,language.human_language.countries_spoken_in,324
8,language.human_language.countries_spoken_in,18
438,language.human_language.countries_spoken_in,168
357,language.human_language.countries_spoken_in,240
438,language.human_language.countries_spoken_in,167
116,language.human_language.countries_spoken_in,167
224,language.human_language.countries_spoken_in,25
149,language.human_language.countries_spoken_in,141
149,language.human_language.countries_spoken_in,29
16,language.human_language.countries_spoken_in,18
49,language.human_language.countries_spoken_in,178
49,language.human_language.countries_spoken_in,13
149,language.human_language.countries_spoken_in,18
357,language.human_language.countries_spoken_in,74
49,language.human_language.countries_spoken_in,177
412,language.human_language.countries_spoken_in,53
412,language.human_language.countries_spoken_in,1
175,language.human_language.countries_spoken_in,1
16,language.human_language.countries_spoken_in,13
149,language.human_language.countries_spoken_in,130
438,language.human_language.countries_spoken_in,240
412,language.human_language.countries_spoken_in,82
116,language.human_language.countries_spoken_in,227
438,language.human_language.countries_spoken_in,437
135,language.human_language.countries_spoken_in,4
412,language.human_language.countries_spoken_in,212
438,language.human_language.countries_spoken_in,1

G describes a graph among nodes "second polish republic", "uruguay", "italy", "italian language", "cyprus", "german language", "vatican city", "germany", "france", "east germany", "english language", "liechtenstein", "romania", "west germany", "switzerland", "kazakhstan", "poland", "austria", "south africa", "bolivia", "czech republic", "kyrgyzstan", "west germanic languages", "united states of america", "russian language", "chile", "belgium", "paraguay", "spanish language", "swabian german", "luxembourg", "bavarian language", "french", "slovenia", "moldova", "argentina", "belarusian language", "namibia", "england", "philippines", "venezuela", "denmark", "ukraine", ""saxon, upper language"", "canada", "israel", "brazil", "europe germanic languages", "ecuador", "australia", "hebrew language", "puerto rico", "polish language", "ukrainian language", "russia", "yiddish language", "kingdom of bavaria", "germanic languages".In this graph: Node "english language" has outgoing edges to: "west germanic languages" with relation "language.human_language.language_family". Node "english language" has outgoing edges to: "vatican city", "canada", "puerto rico", "israel", "south africa", "philippines", "australia", "england", "cyprus", "namibia" with relation "language.human_language.countries_spoken_in". Node "west germanic languages" has outgoing edges to: "europe germanic languages" with relation "common.topic.image". Node "german language" has outgoing edges to: "germanic languages" with relation "language.human_language.language_family". Node "german language" has outgoing edges to: "germany", "south africa", "switzerland", "second polish republic", "liechtenstein", "belgium", "east germany", "denmark", "canada", "luxembourg", "austria", "czech republic", "west germany", "vatican city", "cyprus" with relation "language.human_language.countries_spoken_in". Node "italian language" has outgoing edges to: "italy", "slovenia", "argentina", "switzerland", "brazil", "vatican city" with relation "language.human_language.countries_spoken_in". Node "bavarian language" has outgoing edges to: "germany", "austria", "kingdom of bavaria" with relation "language.human_language.countries_spoken_in". Node "polish language" has outgoing edges to: "canada", "poland", "second polish republic", "czech republic" with relation "language.human_language.countries_spoken_in". Node "spanish language" has outgoing edges to: "paraguay", "puerto rico", "chile", "bolivia", "argentina", "vatican city", "venezuela", "united states of america", "canada", "ecuador", "uruguay" with relation "language.human_language.countries_spoken_in". Node "ukrainian language" has outgoing edges to: "kazakhstan", "moldova", "paraguay", "russia", "romania", "second polish republic", "czech republic", "ukraine" with relation "language.human_language.countries_spoken_in". Node "swabian german" has outgoing edges to: "kingdom of bavaria" with relation "language.human_language.countries_spoken_in". Node "russian language" has outgoing edges to: "kyrgyzstan", "russia", "second polish republic", "ukraine", "czech republic", "kazakhstan", "moldova", "canada" with relation "language.human_language.countries_spoken_in". Node "french" has outgoing edges to: "cyprus", "switzerland", "luxembourg", "france", "vatican city", "belgium" with relation "language.human_language.countries_spoken_in". Node "yiddish language" has outgoing edges to: "argentina", "moldova", "israel", "russia", "second polish republic" with relation "language.human_language.countries_spoken_in". Node "hebrew language" has outgoing edges to: "israel", "south africa" with relation "language.human_language.countries_spoken_in". Node ""saxon, upper language"" has outgoing edges to: "germany" with relation "language.human_language.countries_spoken_in". Node "belarusian language" has outgoing edges to: "second polish republic" with relation "language.human_language.countries_spoken_in".

("english language", "language.human_language.language_family", "west germanic languages"), ("english language", "language.human_language.countries_spoken_in", "vatican city"), ("english language", "language.human_language.countries_spoken_in", "canada"), ("english language", "language.human_language.countries_spoken_in", "puerto rico"), ("english language", "language.human_language.countries_spoken_in", "israel"), ("english language", "language.human_language.countries_spoken_in", "south africa"), ("english language", "language.human_language.countries_spoken_in", "philippines"), ("english language", "language.human_language.countries_spoken_in", "australia"), ("english language", "language.human_language.countries_spoken_in", "england"), ("english language", "language.human_language.countries_spoken_in", "cyprus"), ("english language", "language.human_language.countries_spoken_in", "namibia"), ("west germanic languages", "common.topic.image", "europe germanic languages"), ("german language", "language.human_language.language_family", "germanic languages"), ("german language", "language.human_language.countries_spoken_in", "germany"), ("german language", "language.human_language.countries_spoken_in", "south africa"), ("german language", "language.human_language.countries_spoken_in", "switzerland"), ("german language", "language.human_language.countries_spoken_in", "second polish republic"), ("german language", "language.human_language.countries_spoken_in", "liechtenstein"), ("german language", "language.human_language.countries_spoken_in", "belgium"), ("german language", "language.human_language.countries_spoken_in", "east germany"), ("german language", "language.human_language.countries_spoken_in", "denmark"), ("german language", "language.human_language.countries_spoken_in", "canada"), ("german language", "language.human_language.countries_spoken_in", "luxembourg"), ("german language", "language.human_language.countries_spoken_in", "austria"), ("german language", "language.human_language.countries_spoken_in", "czech republic"), ("german language", "language.human_language.countries_spoken_in", "west germany"), ("german language", "language.human_language.countries_spoken_in", "vatican city"), ("german language", "language.human_language.countries_spoken_in", "cyprus"), ("italian language", "language.human_language.countries_spoken_in", "italy"), ("italian language", "language.human_language.countries_spoken_in", "slovenia"), ("italian language", "language.human_language.countries_spoken_in", "argentina"), ("italian language", "language.human_language.countries_spoken_in", "switzerland"), ("italian language", "language.human_language.countries_spoken_in", "brazil"), ("italian language", "language.human_language.countries_spoken_in", "vatican city"), ("bavarian language", "language.human_language.countries_spoken_in", "germany"), ("bavarian language", "language.human_language.countries_spoken_in", "austria"), ("bavarian language", "language.human_language.countries_spoken_in", "kingdom of bavaria"), ("polish language", "language.human_language.countries_spoken_in", "canada"), ("polish language", "language.human_language.countries_spoken_in", "poland"), ("polish language", "language.human_language.countries_spoken_in", "second polish republic"), ("polish language", "language.human_language.countries_spoken_in", "czech republic"), ("spanish language", "language.human_language.countries_spoken_in", "paraguay"), ("spanish language", "language.human_language.countries_spoken_in", "puerto rico"), ("spanish language", "language.human_language.countries_spoken_in", "chile"), ("spanish language", "language.human_language.countries_spoken_in", "bolivia"), ("spanish language", "language.human_language.countries_spoken_in", "argentina"), ("spanish language", "language.human_language.countries_spoken_in", "vatican city"), ("spanish language", "language.human_language.countries_spoken_in", "venezuela"), ("spanish language", "language.human_language.countries_spoken_in", "united states of america"), ("spanish language", "language.human_language.countries_spoken_in", "canada"), ("spanish language", "language.human_language.countries_spoken_in", "ecuador"), ("spanish language", "language.human_language.countries_spoken_in", "uruguay"), ("ukrainian language", "language.human_language.countries_spoken_in", "kazakhstan"), ("ukrainian language", "language.human_language.countries_spoken_in", "moldova"), ("ukrainian language", "language.human_language.countries_spoken_in", "paraguay"), ("ukrainian language", "language.human_language.countries_spoken_in", "russia"), ("ukrainian language", "language.human_language.countries_spoken_in", "romania"), ("ukrainian language", "language.human_language.countries_spoken_in", "second polish republic"), ("ukrainian language", "language.human_language.countries_spoken_in", "czech republic"), ("ukrainian language", "language.human_language.countries_spoken_in", "ukraine"), ("swabian german", "language.human_language.countries_spoken_in", "kingdom of bavaria"), ("russian language", "language.human_language.countries_spoken_in", "kyrgyzstan"), ("russian language", "language.human_language.countries_spoken_in", "russia"), ("russian language", "language.human_language.countries_spoken_in", "second polish republic"), ("russian language", "language.human_language.countries_spoken_in", "ukraine"), ("russian language", "language.human_language.countries_spoken_in", "czech republic"), ("russian language", "language.human_language.countries_spoken_in", "kazakhstan"), ("russian language", "language.human_language.countries_spoken_in", "moldova"), ("russian language", "language.human_language.countries_spoken_in", "canada"), ("french", "language.human_language.countries_spoken_in", "cyprus"), ("french", "language.human_language.countries_spoken_in", "switzerland"), ("french", "language.human_language.countries_spoken_in", "luxembourg"), ("french", "language.human_language.countries_spoken_in", "france"), ("french", "language.human_language.countries_spoken_in", "vatican city"), ("french", "language.human_language.countries_spoken_in", "belgium"), ("yiddish language", "language.human_language.countries_spoken_in", "argentina"), ("yiddish language", "language.human_language.countries_spoken_in", "moldova"), ("yiddish language", "language.human_language.countries_spoken_in", "israel"), ("yiddish language", "language.human_language.countries_spoken_in", "russia"), ("yiddish language", "language.human_language.countries_spoken_in", "second polish republic"), ("hebrew language", "language.human_language.countries_spoken_in", "israel"), ("hebrew language", "language.human_language.countries_spoken_in", "south africa"), (""saxon, upper language"", "language.human_language.countries_spoken_in", "germany"), ("belarusian language", "language.human_language.countries_spoken_in", "second polish republic")

English, a West Germanic language, is spoken in countries including Vatican City, Canada, Puerto Rico, Israel, South Africa, Philippines, Australia, England, Cyprus, and Namibia. German, part of the Germanic languages, is spoken in Germany, South Africa, Switzerland, Second Polish Republic, Liechtenstein, Belgium, East Germany, Denmark, Canada, Luxembourg, Austria, Czech Republic, West Germany, Vatican City, and Cyprus. Italian is spoken in Italy, Slovenia, Argentina, Switzerland, Brazil, and Vatican City. Bavarian is spoken in Germany, Austria, and the Kingdom of Bavaria. Polish is spoken in Canada, Poland, Second Polish Republic, Czech Republic. Spanish is spoken in Paraguay, Puerto Rico, Chile, Bolivia, Argentina, Vatican City, Venezuela, United States of America, Ecuador, and Uruguay. Ukrainian is spoken in Kazakhstan, Moldova, Paraguay, Russia, Romania, Second Polish Republic, Czech Republic, and Ukraine. Swabian German is spoken in the Kingdom of Bavaria. Russian is spoken in Kyrgyzstan, Russia, Second Polish Republic, Ukraine, Czech Republic, Kazakhstan, Moldova, and Canada. French is spoken in Cyprus, Switzerland, Luxembourg, France, Vatican City, Belgium, and Canada. Yiddish is spoken in Argentina, Moldova, Israel, Russia, and Second Polish Republic. Hebrew is spoken in Israel and South Africa. Saxon, Upper is spoken in Germany. Belarusian is spoken in the Second Polish Republic.

Germanic languages are spoken in Germany, Austria, Switzerland, Liechtenstein, Luxembourg, Belgium, Denmark, parts of Canada, South Africa, and historically in the Second Polish Republic and East Germany. English, belonging to the West Germanic branch, is spoken in England, Canada, Australia, Ireland, South Africa, Namibia, and has significant presence in countries like the Philippines and Israel, though these are not classified under Germanic language families primarily.

Germanic languages are spoken in countries including Germany, Switzerland, Liechtenstein, Luxembourg, Austria, Belgium, Denmark, Netherlands (implied through context as part of "europe germanic languages"), Canada, and parts of South Africa and Belgium. Additionally, English, categorized under West Germanic languages, is widely spoken in countries such as Canada, Australia, England, and others like the United States (implied by Cyprus, Israel, and South Africa where English is prominent, though not Germanic origins), though primarily focused Germanic languages are listed above.

Countries where Germanic languages are spoken include Germany, Austria, Switzerland, Liechtenstein, Luxembourg, Belgium, Denmark, South Africa, Canada, and Luxembourg also speaks German; English, a West Germanic language, is spoken in countries such as England, Canada, Australia, South Africa, Namibia, and Ireland (though Ireland is not explicitly listed in the given data, England is indicative of broader Germanic language usage).

Germanic languages are spoken in several countries including Germany, Switzerland, Liechtenstein, Luxembourg, Austria, Belgium, Denmark, Luxembourg, and parts of Belgium and Austria historically (second Polish Republic and East Germany also had significant German-speaking populations). Additionally, English, classified under West Germanic languages, is spoken widely in countries such as Canada, Australia, and parts of South Africa, among others listed, though these are not Germanic languages outside the context of classification.

Germanic languages are spoken in Germany, Switzerland, Liechtenstein, Belgium, Luxembourg, Austria, Denmark, Netherlands, and parts of Canada and South Africa. English, a West Germanic language, is spoken in England, Cyprus, Canada, South Africa, Australia, Philippines, Israel, Namibia, and Vatican City, though these latter countries are not specifically categorized under Germanic language families in the provided graph.


Question: who plays eowyn in lord of the rings

You are a graph analyst and you have been given a graph G among "the lord of the rings: the return of the king", "miranda otto", "m.03l6qws", "the lord of the rings", "into the west", "éowyn", "the lord of the rings: the return of the king: into the west". G has the following directed edges: "the lord of the rings: the return of the king"-(film.film.featured_song)->"into the west", "the lord of the rings"-(media_common.adapted_work.adaptations)->"the lord of the rings: the return of the king", "into the west"-(music.composition.recordings)->"the lord of the rings: the return of the king: into the west", "éowyn"-(book.book_character.appears_in_book)->"the lord of the rings", "m.03l6qws"-(film.performance.character)->"éowyn", "m.03l6qws"-(film.performance.actor)->"miranda otto".

node_id,node_attr
37,the lord of the rings: the return of the king
92,miranda otto
93,m.03l6qws
132,the lord of the rings
501,into the west
577,éowyn
1174,the lord of the rings: the return of the king: into the west

src,edge_attr,dst
37,film.film.featured_song,501
132,media_common.adapted_work.adaptations,37
501,music.composition.recordings,1174
577,book.book_character.appears_in_book,132
93,film.performance.character,577
93,film.performance.actor,92

G describes a graph among nodes "the lord of the rings: the return of the king", "miranda otto", "m.03l6qws", "the lord of the rings", "into the west", "éowyn", "the lord of the rings: the return of the king: into the west".In this graph: Node "the lord of the rings: the return of the king" has outgoing edges to: "into the west" with relation "film.film.featured_song". Node "the lord of the rings" has outgoing edges to: "the lord of the rings: the return of the king" with relation "media_common.adapted_work.adaptations". Node "into the west" has outgoing edges to: "the lord of the rings: the return of the king: into the west" with relation "music.composition.recordings". Node "éowyn" has outgoing edges to: "the lord of the rings" with relation "book.book_character.appears_in_book". Node "m.03l6qws" has outgoing edges to: "éowyn" with relation "film.performance.character". Node "m.03l6qws" has outgoing edges to: "miranda otto" with relation "film.performance.actor".

("the lord of the rings: the return of the king", "film.film.featured_song", "into the west"), ("the lord of the rings", "media_common.adapted_work.adaptations", "the lord of the rings: the return of the king"), ("into the west", "music.composition.recordings", "the lord of the rings: the return of the king: into the west"), ("éowyn", "book.book_character.appears_in_book", "the lord of the rings"), ("m.03l6qws", "film.performance.character", "éowyn"), ("m.03l6qws", "film.performance.actor", "miranda otto")

"The Lord of the Rings: The Return of the King" features the song "Into the West" and is an adaptation of "The Lord of the Rings," with "Into the West" also recorded for the film. The character Éowyn appears in "The Lord of the Rings," portrayed by Miranda Otto in the film adaptation.

Miranda Otto plays the character Éowyn in "The Lord of the Rings."

Miranda Otto plays Éowyn in "The Lord of the Rings" film series, specifically portrayed in adaptations such as "The Lord of the Rings: The Return of the King."

Miranda Otto plays Éowyn in "The Lord of the Rings" film series.

In "The Lord of the Rings" film series, particularly in "The Lord of the Rings: The Return of the King," the character Éowyn is portrayed by actress Miranda Otto.


Question: where is augusta masters 2012

You are a graph analyst and you have been given a graph G among "2012 masters tournament", "augusta national golf course", "masters tournament", "bubba watson", "augusta", "2014 players championship". G has the following directed edges: "masters tournament"-(travel.tourist_attraction.near_travel_destination)->"augusta", "masters tournament"-(sports.sports_championship.events)->"2012 masters tournament", "bubba watson"-(award.competitor.competitions_won)->"2012 masters tournament", "bubba watson"-(award.competitor.competitions)->"2014 players championship", "augusta national golf course"-(location.location.events)->"2012 masters tournament".

node_id,node_attr
0,2012 masters tournament
1,augusta national golf course
3,masters tournament
11,bubba watson
18,augusta
93,2014 players championship

src,edge_attr,dst
3,travel.tourist_attraction.near_travel_destination,18
3,sports.sports_championship.events,0
11,award.competitor.competitions_won,0
1,location.location.events,0
11,award.competitor.competitions,93

G describes a graph among nodes "2012 masters tournament", "augusta national golf course", "masters tournament", "bubba watson", "augusta", "2014 players championship".In this graph: Node "masters tournament" has outgoing edges to: "augusta" with relation "travel.tourist_attraction.near_travel_destination". Node "masters tournament" has outgoing edges to: "2012 masters tournament" with relation "sports.sports_championship.events". Node "bubba watson" has outgoing edges to: "2012 masters tournament" with relation "award.competitor.competitions_won". Node "bubba watson" has outgoing edges to: "2014 players championship" with relation "award.competitor.competitions". Node "augusta national golf course" has outgoing edges to: "2012 masters tournament" with relation "location.location.events".

("masters tournament", "travel.tourist_attraction.near_travel_destination", "augusta"), ("masters tournament", "sports.sports_championship.events", "2012 masters tournament"), ("bubba watson", "award.competitor.competitions_won", "2012 masters tournament"), ("bubba watson", "award.competitor.competitions", "2014 players championship"), ("augusta national golf course", "location.location.events", "2012 masters tournament")

The 2012 Masters Tournament, held at Augusta National Golf Course, featured Bubba Watson as the champion, winning the event near the tourist destination of Augusta. Watson also competed in the 2014 Players Championship, further highlighting his presence in major golf championships.

The 2012 Masters Tournament was held at the Augusta National Golf Course in Augusta.


Question: what type of cancer did eva peron die from

You are a graph analyst and you have been given a graph G among "argentina", "gina wilkinson", "cervical cancer", "cancer", "eva perón: a biography", "eva perón", "ovarian cancer", "kay medford", "stuart scott", "colleen dewhurst", "ann mui", "yvette wilson", "the mystery of eva peron", "angelique pettyjohn", "assassination in ways which appear natural", "mira wanting", "anita mui", "eric mitchell", "eva peron: a biography". G has the following directed edges: "eva perón"-(people.person.nationality)->"argentina", "eva perón"-(people.deceased_person.cause_of_death)->"cancer", "eva perón"-(people.deceased_person.cause_of_death)->"cervical cancer", "the mystery of eva peron"-(film.film.country)->"argentina", "eva perón: a biography"-(book.book.editions)->"eva perón", "eva perón: a biography"-(book.book.editions)->"eva peron: a biography", "kay medford"-(people.deceased_person.cause_of_death)->"cervical cancer", "ann mui"-(people.deceased_person.cause_of_death)->"cervical cancer", "anita mui"-(people.deceased_person.cause_of_death)->"cervical cancer", "colleen dewhurst"-(people.deceased_person.cause_of_death)->"cervical cancer", "stuart scott"-(people.deceased_person.cause_of_death)->"cancer", "yvette wilson"-(people.deceased_person.cause_of_death)->"cervical cancer", "gina wilkinson"-(people.deceased_person.cause_of_death)->"cervical cancer", "mira wanting"-(people.deceased_person.cause_of_death)->"cervical cancer", "ovarian cancer"-(people.cause_of_death.parent_cause_of_death)->"assassination in ways which appear natural", "ovarian cancer"-(people.cause_of_death.parent_cause_of_death)->"cancer", "angelique pettyjohn"-(people.deceased_person.cause_of_death)->"cervical cancer", "eric mitchell"-(base.fictionaluniverse.deceased_fictional_character.cause_of_death)->"cancer".

node_id,node_attr
22,argentina
23,gina wilkinson
34,cervical cancer
46,cancer
56,eva perón: a biography
57,eva perón
145,ovarian cancer
194,kay medford
229,stuart scott
237,colleen dewhurst
240,ann mui
269,yvette wilson
312,the mystery of eva peron
356,angelique pettyjohn
563,assassination in ways which appear natural
622,mira wanting
676,anita mui
1069,eric mitchell
1529,eva peron: a biography

src,edge_attr,dst
57,people.person.nationality,22
312,film.film.country,22
56,book.book.editions,57
56,book.book.editions,1529
57,people.deceased_person.cause_of_death,46
194,people.deceased_person.cause_of_death,34
240,people.deceased_person.cause_of_death,34
676,people.deceased_person.cause_of_death,34
57,people.deceased_person.cause_of_death,34
237,people.deceased_person.cause_of_death,34
229,people.deceased_person.cause_of_death,46
269,people.deceased_person.cause_of_death,34
23,people.deceased_person.cause_of_death,34
622,people.deceased_person.cause_of_death,34
145,people.cause_of_death.parent_cause_of_death,563
356,people.deceased_person.cause_of_death,34
145,people.cause_of_death.parent_cause_of_death,46
1069,base.fictionaluniverse.deceased_fictional_character.cause_of_death,46

G describes a graph among nodes "argentina", "gina wilkinson", "cervical cancer", "cancer", "eva perón: a biography", "eva perón", "ovarian cancer", "kay medford", "stuart scott", "colleen dewhurst", "ann mui", "yvette wilson", "the mystery of eva peron", "angelique pettyjohn", "assassination in ways which appear natural", "mira wanting", "anita mui", "eric mitchell", "eva peron: a biography".In this graph: Node "eva perón" has outgoing edges to: "argentina" with relation "people.person.nationality". Node "eva perón" has outgoing edges to: "cancer", "cervical cancer" with relation "people.deceased_person.cause_of_death". Node "the mystery of eva peron" has outgoing edges to: "argentina" with relation "film.film.country". Node "eva perón: a biography" has outgoing edges to: "eva perón", "eva peron: a biography" with relation "book.book.editions". Node "kay medford" has outgoing edges to: "cervical cancer" with relation "people.deceased_person.cause_of_death". Node "ann mui" has outgoing edges to: "cervical cancer" with relation "people.deceased_person.cause_of_death". Node "anita mui" has outgoing edges to: "cervical cancer" with relation "people.deceased_person.cause_of_death". Node "colleen dewhurst" has outgoing edges to: "cervical cancer" with relation "people.deceased_person.cause_of_death". Node "stuart scott" has outgoing edges to: "cancer" with relation "people.deceased_person.cause_of_death". Node "yvette wilson" has outgoing edges to: "cervical cancer" with relation "people.deceased_person.cause_of_death". Node "gina wilkinson" has outgoing edges to: "cervical cancer" with relation "people.deceased_person.cause_of_death". Node "mira wanting" has outgoing edges to: "cervical cancer" with relation "people.deceased_person.cause_of_death". Node "ovarian cancer" has outgoing edges to: "assassination in ways which appear natural", "cancer" with relation "people.cause_of_death.parent_cause_of_death". Node "angelique pettyjohn" has outgoing edges to: "cervical cancer" with relation "people.deceased_person.cause_of_death". Node "eric mitchell" has outgoing edges to: "cancer" with relation "base.fictionaluniverse.deceased_fictional_character.cause_of_death".

("eva perón", "people.person.nationality", "argentina"), ("eva perón", "people.deceased_person.cause_of_death", "cancer"), ("eva perón", "people.deceased_person.cause_of_death", "cervical cancer"), ("the mystery of eva peron", "film.film.country", "argentina"), ("eva perón: a biography", "book.book.editions", "eva perón"), ("eva perón: a biography", "book.book.editions", "eva peron: a biography"), ("kay medford", "people.deceased_person.cause_of_death", "cervical cancer"), ("ann mui", "people.deceased_person.cause_of_death", "cervical cancer"), ("anita mui", "people.deceased_person.cause_of_death", "cervical cancer"), ("colleen dewhurst", "people.deceased_person.cause_of_death", "cervical cancer"), ("stuart scott", "people.deceased_person.cause_of_death", "cancer"), ("yvette wilson", "people.deceased_person.cause_of_death", "cervical cancer"), ("gina wilkinson", "people.deceased_person.cause_of_death", "cervical cancer"), ("mira wanting", "people.deceased_person.cause_of_death", "cervical cancer"), ("ovarian cancer", "people.cause_of_death.parent_cause_of_death", "assassination in ways which appear natural"), ("ovarian cancer", "people.cause_of_death.parent_cause_of_death", "cancer"), ("angelique pettyjohn", "people.deceased_person.cause_of_death", "cervical cancer"), ("eric mitchell", "base.fictionaluniverse.deceased_fictional_character.cause_of_death", "cancer")

Eva Perón, an Argentine national, died from cervical cancer, also categorized broadly as cancer. Her life and legacy are explored in works such as "Eva Perón: A Biography" and the Argentine film "The Mystery of Eva Perón." Notably, several other individuals including Kay Medford, Ann Mui, Anita Mui, Colleen Dewhurst, Stuart Scott, Yvette Wilson, Gina Wilkinson, Mira Wanting, and Angelique Pettyjohn also succumbed to cervical cancer, while Eric Mitchell, a fictional character, died from cancer, which in some contexts, like ovarian cancer, can be linked to causes appearing natural or as part of broader cancer classifications.

Eva Perón died from cervical cancer, which is specified as her cause of death in the provided data.


Question: who did terrell owens play for in 2010

You are a graph analyst and you have been given a graph G among "terrell owens", "m.0ghnpwg", "buffalo bills", "tanedra howard; terrell owens; mike epps", "m.09kmpps", "terrell-owens-aug302007-vikings-preseason". G has the following directed edges: "terrell owens"-(tv.tv_actor.guest_roles)->"m.0ghnpwg", "terrell owens"-(american_football.football_player.receiving)->"m.09kmpps", "m.0ghnpwg"-(tv.tv_guest_role.episodes_appeared_in)->"tanedra howard; terrell owens; mike epps", "terrell-owens-aug302007-vikings-preseason"-(common.image.appears_in_topic_gallery)->"terrell owens", "m.09kmpps"-(american_football.player_receiving_statistics.team)->"buffalo bills".

Cincinnati Bengals
Texas Revolution
Buffalo Bills

node_id,node_attr
1,terrell owens
19,m.0ghnpwg
43,buffalo bills
127,tanedra howard; terrell owens; mike epps
213,m.09kmpps
336,terrell-owens-aug302007-vikings-preseason

src,edge_attr,dst
1,tv.tv_actor.guest_roles,19
19,tv.tv_guest_role.episodes_appeared_in,127
336,common.image.appears_in_topic_gallery,1
1,american_football.football_player.receiving,213
213,american_football.player_receiving_statistics.team,43

G describes a graph among nodes "terrell owens", "m.0ghnpwg", "buffalo bills", "tanedra howard; terrell owens; mike epps", "m.09kmpps", "terrell-owens-aug302007-vikings-preseason".In this graph: Node "terrell owens" has outgoing edges to: "m.0ghnpwg" with relation "tv.tv_actor.guest_roles". Node "terrell owens" has outgoing edges to: "m.09kmpps" with relation "american_football.football_player.receiving". Node "m.0ghnpwg" has outgoing edges to: "tanedra howard; terrell owens; mike epps" with relation "tv.tv_guest_role.episodes_appeared_in". Node "terrell-owens-aug302007-vikings-preseason" has outgoing edges to: "terrell owens" with relation "common.image.appears_in_topic_gallery". Node "m.09kmpps" has outgoing edges to: "buffalo bills" with relation "american_football.player_receiving_statistics.team".

("terrell owens", "tv.tv_actor.guest_roles", "m.0ghnpwg"), ("terrell owens", "american_football.football_player.receiving", "m.09kmpps"), ("m.0ghnpwg", "tv.tv_guest_role.episodes_appeared_in", "tanedra howard; terrell owens; mike epps"), ("terrell-owens-aug302007-vikings-preseason", "common.image.appears_in_topic_gallery", "terrell owens"), ("m.09kmpps", "american_football.player_receiving_statistics.team", "buffalo bills")

Terrell Owens, an American football player known for his receiving skills with the Buffalo Bills, also ventured into acting, guest starring as himself in TV shows like "Tanedra Howard" and alongside Mike Epps. His dual career highlights are showcased in topics such as his appearance in a Vikings preseason game image gallery.

In 2010, Terrell Owens played for the Buffalo Bills according to his player receiving statistics.

In 2010, Terrell Owens played for the Buffalo Bills.


Question: where is denmark south carolina

You are a graph analyst and you have been given a graph G among "south carolina", "m.0jvw4r3", "bamberg county", "denmark", "united states of america", "m.0jvvw23", ""united states, with territories"", "kansas", "map of south carolina highlighting bamberg county". G has the following directed edges: "denmark"-(location.location.containedby)->"united states of america", "denmark"-(location.hud_county_place.county)->"bamberg county", "bamberg county"-(common.topic.image)->"map of south carolina highlighting bamberg county", "bamberg county"-(location.administrative_division.capital)->"m.0jvvw23", "south carolina"-(location.administrative_division.capital)->"m.0jvw4r3", "south carolina"-(location.administrative_division.country)->"united states of america", "united states of america"-(location.country.administrative_divisions)->"south carolina", "united states of america"-(location.country.administrative_divisions)->"kansas", "united states of america"-(location.country.first_level_divisions)->"kansas", "united states of america"-(location.country.first_level_divisions)->"south carolina", ""united states, with territories""-(location.country.first_level_divisions)->"united states of america", "kansas"-(location.administrative_division.country)->"united states of america".

Bamberg County
South Carolina
United States of America

node_id,node_attr
0,south carolina
1,m.0jvw4r3
2,bamberg county
3,denmark
7,united states of america
43,m.0jvvw23
59,"united states, with territories"
72,kansas
692,map of south carolina highlighting bamberg county

src,edge_attr,dst
3,location.location.containedby,7
2,common.topic.image,692
3,location.hud_county_place.county,2
0,location.administrative_division.capital,1
7,location.country.administrative_divisions,0
2,location.administrative_division.capital,43
7,location.country.first_level_divisions,72
7,location.country.first_level_divisions,0
59,location.country.first_level_divisions,7
7,location.country.administrative_divisions,72
0,location.administrative_division.country,7
72,location.administrative_division.country,7

G describes a graph among nodes "south carolina", "m.0jvw4r3", "bamberg county", "denmark", "united states of america", "m.0jvvw23", ""united states, with territories"", "kansas", "map of south carolina highlighting bamberg county".In this graph: Node "denmark" has outgoing edges to: "united states of america" with relation "location.location.containedby". Node "denmark" has outgoing edges to: "bamberg county" with relation "location.hud_county_place.county". Node "bamberg county" has outgoing edges to: "map of south carolina highlighting bamberg county" with relation "common.topic.image". Node "bamberg county" has outgoing edges to: "m.0jvvw23" with relation "location.administrative_division.capital". Node "south carolina" has outgoing edges to: "m.0jvw4r3" with relation "location.administrative_division.capital". Node "south carolina" has outgoing edges to: "united states of america" with relation "location.administrative_division.country". Node "united states of america" has outgoing edges to: "south carolina", "kansas" with relation "location.country.administrative_divisions". Node "united states of america" has outgoing edges to: "kansas", "south carolina" with relation "location.country.first_level_divisions". Node ""united states, with territories"" has outgoing edges to: "united states of america" with relation "location.country.first_level_divisions". Node "kansas" has outgoing edges to: "united states of america" with relation "location.administrative_division.country".

("denmark", "location.location.containedby", "united states of america"), ("denmark", "location.hud_county_place.county", "bamberg county"), ("bamberg county", "common.topic.image", "map of south carolina highlighting bamberg county"), ("bamberg county", "location.administrative_division.capital", "m.0jvvw23"), ("south carolina", "location.administrative_division.capital", "m.0jvw4r3"), ("south carolina", "location.administrative_division.country", "united states of america"), ("united states of america", "location.country.administrative_divisions", "south carolina"), ("united states of america", "location.country.administrative_divisions", "kansas"), ("united states of america", "location.country.first_level_divisions", "kansas"), ("united states of america", "location.country.first_level_divisions", "south carolina"), (""united states, with territories"", "location.country.first_level_divisions", "united states of america"), ("kansas", "location.administrative_division.country", "united states of america")

Denmark is located within Bamberg County, which is part of South Carolina, United States of America. Bamberg County's image is represented by a map highlighting the county itself, and its administrative capital is identified as m.0jvvw23. South Carolina's capital is m.0jvw4r3, and it is a first-level division of the United States of America, alongside Kansas. The United States of America includes South Carolina and Kansas as its first-level administrative divisions, with the country also encompassing territories under the broader designation of "United States, with territories." Kansas, like South Carolina, is an administrative division within the United States of America.

Denmark is located in Bamberg County, which is within South Carolina, United States of America.

Denmark is located in Bamberg County, which is within South Carolina, a state in the United States of America.

Denmark is located in Bamberg County, South Carolina, which is within the United States of America.

Denmark is located in Bamberg County, which is within the state of South Carolina, United States of America.

Denmark is located in Bamberg County, which is in South Carolina, United States of America.