Question: where did hank marvin come from

You are a graph analyst and you have been given a graph G among "hank marvin", "newcastle upon tyne", "england", "another side of hank marvin", "mark knopfler", "the shadows", "http://www.discogs.com/artist/hank+marvin". G has the following directed edges: "newcastle upon tyne"-(location.location.containedby)->"england", "http://www.discogs.com/artist/hank+marvin"-(common.webpage.topic)->"hank marvin", "hank marvin"-(music.artist.album)->"another side of hank marvin", "hank marvin"-(people.person.place_of_birth)->"newcastle upon tyne", "mark knopfler"-(music.artist.origin)->"newcastle upon tyne", "the shadows"-(music.artist.origin)->"england".

node_id,node_attr
0,hank marvin
23,newcastle upon tyne
92,england
110,another side of hank marvin
218,mark knopfler
287,the shadows
384,http://www.discogs.com/artist/hank+marvin

src,edge_attr,dst
23,location.location.containedby,92
384,common.webpage.topic,0
0,music.artist.album,110
0,people.person.place_of_birth,23
218,music.artist.origin,23
287,music.artist.origin,92

G describes a graph among nodes "hank marvin", "newcastle upon tyne", "england", "another side of hank marvin", "mark knopfler", "the shadows", "http://www.discogs.com/artist/hank+marvin".In this graph: Node "newcastle upon tyne" has outgoing edges to: "england" with relation "location.location.containedby". Node "http://www.discogs.com/artist/hank+marvin" has outgoing edges to: "hank marvin" with relation "common.webpage.topic". Node "hank marvin" has outgoing edges to: "another side of hank marvin" with relation "music.artist.album". Node "hank marvin" has outgoing edges to: "newcastle upon tyne" with relation "people.person.place_of_birth". Node "mark knopfler" has outgoing edges to: "newcastle upon tyne" with relation "music.artist.origin". Node "the shadows" has outgoing edges to: "england" with relation "music.artist.origin".

("newcastle upon tyne", "location.location.containedby", "england"), ("http://www.discogs.com/artist/hank+marvin", "common.webpage.topic", "hank marvin"), ("hank marvin", "music.artist.album", "another side of hank marvin"), ("hank marvin", "people.person.place_of_birth", "newcastle upon tyne"), ("mark knopfler", "music.artist.origin", "newcastle upon tyne"), ("the shadows", "music.artist.origin", "england")

Newcastle upon Tyne is located in England and is the birthplace of Hank Marvin, who released the album "Another Side of Hank Marvin." Mark Knopfler also originates from Newcastle upon Tyne, while The Shadows hail from England.

Hank Marvin was born in Newcastle upon Tyne, which is located in England.


Question: when did chipper jones get drafted

You are a graph analyst and you have been given a graph G among "chipper jones", "atlanta braves", "m.04vy30g", "chipperjones", "1990 major league baseball draft". G has the following directed edges: "chipperjones"-(common.image.appears_in_topic_gallery)->"chipper jones", "chipper jones"-(sports.drafted_athlete.drafted)->"m.04vy30g", "m.04vy30g"-(sports.sports_league_draft_pick.team)->"atlanta braves", "m.04vy30g"-(sports.sports_league_draft_pick.draft)->"1990 major league baseball draft", "m.04vy30g"-(sports.sports_league_draft_pick.player)->"chipper jones", "1990 major league baseball draft"-(sports.sports_league_draft.picks)->"m.04vy30g".

node_id,node_attr
3,chipper jones
10,atlanta braves
74,m.04vy30g
107,chipperjones
298,1990 major league baseball draft

src,edge_attr,dst
107,common.image.appears_in_topic_gallery,3
3,sports.drafted_athlete.drafted,74
74,sports.sports_league_draft_pick.team,10
298,sports.sports_league_draft.picks,74
74,sports.sports_league_draft_pick.draft,298
74,sports.sports_league_draft_pick.player,3

G describes a graph among nodes "chipper jones", "atlanta braves", "m.04vy30g", "chipperjones", "1990 major league baseball draft".In this graph: Node "chipperjones" has outgoing edges to: "chipper jones" with relation "common.image.appears_in_topic_gallery". Node "chipper jones" has outgoing edges to: "m.04vy30g" with relation "sports.drafted_athlete.drafted". Node "m.04vy30g" has outgoing edges to: "atlanta braves" with relation "sports.sports_league_draft_pick.team". Node "m.04vy30g" has outgoing edges to: "1990 major league baseball draft" with relation "sports.sports_league_draft_pick.draft". Node "m.04vy30g" has outgoing edges to: "chipper jones" with relation "sports.sports_league_draft_pick.player". Node "1990 major league baseball draft" has outgoing edges to: "m.04vy30g" with relation "sports.sports_league_draft.picks".

("chipperjones", "common.image.appears_in_topic_gallery", "chipper jones"), ("chipper jones", "sports.drafted_athlete.drafted", "m.04vy30g"), ("m.04vy30g", "sports.sports_league_draft_pick.team", "atlanta braves"), ("m.04vy30g", "sports.sports_league_draft_pick.draft", "1990 major league baseball draft"), ("m.04vy30g", "sports.sports_league_draft_pick.player", "chipper jones"), ("1990 major league baseball draft", "sports.sports_league_draft.picks", "m.04vy30g")

Chipper Jones appears in topic galleries and was drafted by the Atlanta Braves in the 1990 Major League Baseball draft, where he was selected as pick m.04vy30g.

Chipper Jones was drafted in the 1990 Major League Baseball Draft by the Atlanta Braves.

Chipper Jones was drafted in the 1990 Major League Baseball draft by the Atlanta Braves.


Question: what part did winona ryder play in star trek

You are a graph analyst and you have been given a graph G among "winona ryder", "m.0wh01qn", "m.0gxt93v", "m.09x4glj", "m.0gxt93g", "m.093_563", "m.0gxt946", "winona ryder's next role", "winona ryder to play lois wilson". G has the following directed edges: "m.09x4glj"-(common.webpage.topic)->"winona ryder", "winona ryder"-(common.topic.webpage)->"m.093_563", "winona ryder"-(tv.tv_actor.starring_roles)->"m.0gxt93g", "winona ryder"-(tv.tv_actor.starring_roles)->"m.0gxt946", "winona ryder"-(tv.tv_actor.starring_roles)->"m.0gxt93v", "winona ryder"-(tv.tv_actor.starring_roles)->"m.0wh01qn", "winona ryder to play lois wilson"-(common.resource.annotations)->"m.09x4glj", "winona ryder's next role"-(common.resource.annotations)->"m.093_563".

node_id,node_attr
4,winona ryder
422,m.0wh01qn
477,m.0gxt93v
695,m.09x4glj
705,m.0gxt93g
1302,m.093_563
1363,m.0gxt946
1459,winona ryder's next role
1564,winona ryder to play lois wilson

src,edge_attr,dst
695,common.webpage.topic,4
4,common.topic.webpage,1302
1564,common.resource.annotations,695
1459,common.resource.annotations,1302
4,tv.tv_actor.starring_roles,705
4,tv.tv_actor.starring_roles,1363
4,tv.tv_actor.starring_roles,477
4,tv.tv_actor.starring_roles,422

G describes a graph among nodes "winona ryder", "m.0wh01qn", "m.0gxt93v", "m.09x4glj", "m.0gxt93g", "m.093_563", "m.0gxt946", "winona ryder's next role", "winona ryder to play lois wilson".In this graph: Node "m.09x4glj" has outgoing edges to: "winona ryder" with relation "common.webpage.topic". Node "winona ryder" has outgoing edges to: "m.093_563" with relation "common.topic.webpage". Node "winona ryder" has outgoing edges to: "m.0gxt93g", "m.0gxt946", "m.0gxt93v", "m.0wh01qn" with relation "tv.tv_actor.starring_roles". Node "winona ryder to play lois wilson" has outgoing edges to: "m.09x4glj" with relation "common.resource.annotations". Node "winona ryder's next role" has outgoing edges to: "m.093_563" with relation "common.resource.annotations".

("m.09x4glj", "common.webpage.topic", "winona ryder"), ("winona ryder", "common.topic.webpage", "m.093_563"), ("winona ryder", "tv.tv_actor.starring_roles", "m.0gxt93g"), ("winona ryder", "tv.tv_actor.starring_roles", "m.0gxt946"), ("winona ryder", "tv.tv_actor.starring_roles", "m.0gxt93v"), ("winona ryder", "tv.tv_actor.starring_roles", "m.0wh01qn"), ("winona ryder to play lois wilson", "common.resource.annotations", "m.09x4glj"), ("winona ryder's next role", "common.resource.annotations", "m.093_563")

Winona Ryder is associated with the webpage m.09x4glj, which discusses her topic, and is linked to another webpage m.093_563, often referred to in context with her next role. She stars in multiple TV roles including those listed under m.0gxt93g, m.0gxt946, m.0gxt93v, and m.0wh01qn. Additionally, she is set to play Lois Wilson, a detail annotated on m.09x4glj, and this upcoming role is also noted on m.093_563.

Winona Ryder did not have a starring role in any of the listed TV entities associated with her, and there is no mention of her playing a part in Star Trek within the provided graph data. The graph annotations refer to her potential future role as Lois Wilson without connecting it to Star Trek.

Winona Ryder did not have a starring role in any of the listed works related to "Star Trek" based on the provided graph data. The graph mentions her roles and projects but does not include any involvement in Star Trek productions. Specifically, her noted roles are not associated with Star Trek series or movies within the given information.

Winona Ryder did not have a starring role listed in any Star Trek productions within the provided graph data. Her documented roles do not include participation in the Star Trek franchise.

Winona Ryder did not have a starring role in any Star Trek TV series based on the provided graph information. The graph mentions her roles in other productions but does not include any Star Trek appearances.

Winona Ryder did not have a starring role listed in any entries directly related to Star Trek in the provided graph data. Her noted roles do not include characters from the Star Trek franchise.


Question: where did jovan belcher kill himself

You are a graph analyst and you have been given a graph G among "suicide", "kansas city", "gunshot", "m.0p1t25t", "jovan belcher", "john belcher", "kasandra perkins", "zoey belcher", "drowning". G has the following directed edges: "zoey belcher"-(people.person.parents)->"jovan belcher", "jovan belcher"-(people.person.parents)->"john belcher", "jovan belcher"-(people.deceased_person.place_of_death)->"kansas city", "jovan belcher"-(people.deceased_person.cause_of_death)->"suicide", "jovan belcher"-(people.deceased_person.cause_of_death)->"gunshot", "jovan belcher"-(sports.pro_athlete.teams)->"m.0p1t25t", "kasandra perkins"-(people.deceased_person.place_of_death)->"kansas city", "suicide"-(people.cause_of_death.includes_causes_of_death)->"drowning".

node_id,node_attr
3,suicide
4,kansas city
7,gunshot
62,m.0p1t25t
76,jovan belcher
81,john belcher
82,kasandra perkins
353,zoey belcher
604,drowning

src,edge_attr,dst
353,people.person.parents,76
76,people.person.parents,81
76,people.deceased_person.place_of_death,4
82,people.deceased_person.place_of_death,4
76,people.deceased_person.cause_of_death,3
76,people.deceased_person.cause_of_death,7
76,sports.pro_athlete.teams,62
3,people.cause_of_death.includes_causes_of_death,604

G describes a graph among nodes "suicide", "kansas city", "gunshot", "m.0p1t25t", "jovan belcher", "john belcher", "kasandra perkins", "zoey belcher", "drowning".In this graph: Node "zoey belcher" has outgoing edges to: "jovan belcher" with relation "people.person.parents". Node "jovan belcher" has outgoing edges to: "john belcher" with relation "people.person.parents". Node "jovan belcher" has outgoing edges to: "kansas city" with relation "people.deceased_person.place_of_death". Node "jovan belcher" has outgoing edges to: "suicide", "gunshot" with relation "people.deceased_person.cause_of_death". Node "jovan belcher" has outgoing edges to: "m.0p1t25t" with relation "sports.pro_athlete.teams". Node "kasandra perkins" has outgoing edges to: "kansas city" with relation "people.deceased_person.place_of_death". Node "suicide" has outgoing edges to: "drowning" with relation "people.cause_of_death.includes_causes_of_death".

("zoey belcher", "people.person.parents", "jovan belcher"), ("jovan belcher", "people.person.parents", "john belcher"), ("jovan belcher", "people.deceased_person.place_of_death", "kansas city"), ("jovan belcher", "people.deceased_person.cause_of_death", "suicide"), ("jovan belcher", "people.deceased_person.cause_of_death", "gunshot"), ("jovan belcher", "sports.pro_athlete.teams", "m.0p1t25t"), ("kasandra perkins", "people.deceased_person.place_of_death", "kansas city"), ("suicide", "people.cause_of_death.includes_causes_of_death", "drowning")

Zoey Belcher is the daughter of Jovan Belcher, who was the child of John Belcher. Jovan Belcher, a professional athlete who played for M.0p1t25t, died by suicide in Kansas City, caused by a gunshot. Kasandra Perkins also died in Kansas City, and it's noted that suicide can include drowning as a cause, though this specific detail pertains to a broader classification rather than Jovan Belcher's case.

Jovan Belcher died by suicide through a gunshot wound in Kansas City.

Jovan Belcher killed himself by gunshot in Kansas City.

Jovan Belcher died by suicide due to a gunshot wound in Kansas City.


Question: where did clay matthews go to school

You are a graph analyst and you have been given a graph G among "male", ""clay matthews, jr."", "united states of america", "clay matthews iii", "california", "m.0n0g06t", "agoura high school", "m.075rpj7", ""california state university, northridge"", "academy of barbering arts", "cal state northridge matadors men's basketball", "kyle matthews", "m.0hprg7d", "university of southern california". G has the following directed edges: "clay matthews iii"-(people.person.gender)->"male", "clay matthews iii"-(people.person.education)->"m.0n0g06t", "clay matthews iii"-(people.person.nationality)->"united states of america", "clay matthews iii"-(people.person.parents)->""clay matthews, jr."", "clay matthews iii"-(sports.pro_athlete.teams)->"m.075rpj7", "agoura high school"-(location.location.containedby)->"california", "agoura high school"-(education.educational_institution_campus.educational_institution)->"agoura high school", "agoura high school"-(education.educational_institution.campuses)->"agoura high school", "m.0hprg7d"-(education.education.student)->"clay matthews iii", "m.0hprg7d"-(education.education.institution)->"university of southern california", "kyle matthews"-(people.person.gender)->"male", ""california state university, northridge""-(location.location.containedby)->"california", ""california state university, northridge""-(education.educational_institution.sports_teams)->"cal state northridge matadors men's basketball", ""california state university, northridge""-(education.educational_institution_campus.educational_institution)->""california state university, northridge"", ""california state university, northridge""-(education.educational_institution.campuses)->""california state university, northridge"", "m.0n0g06t"-(education.education.institution)->"agoura high school", "academy of barbering arts"-(location.location.containedby)->"united states of america", "academy of barbering arts"-(education.educational_institution_campus.educational_institution)->"academy of barbering arts", "academy of barbering arts"-(education.educational_institution.campuses)->"academy of barbering arts", "university of southern california"-(education.educational_institution.campuses)->"university of southern california", "university of southern california"-(education.educational_institution_campus.educational_institution)->"university of southern california".

University of Southern California
Agoura High School

node_id,node_attr
1,male
3,"clay matthews, jr."
13,united states of america
18,clay matthews iii
30,california
62,m.0n0g06t
63,agoura high school
65,m.075rpj7
69,"california state university, northridge"
89,academy of barbering arts
105,cal state northridge matadors men's basketball
123,kyle matthews
147,m.0hprg7d
148,university of southern california

src,edge_attr,dst
18,people.person.gender,1
63,location.location.containedby,30
18,people.person.education,62
18,people.person.nationality,13
147,education.education.student,18
123,people.person.gender,1
69,location.location.containedby,30
62,education.education.institution,63
89,location.location.containedby,13
147,education.education.institution,148
18,people.person.parents,3
89,education.educational_institution_campus.educational_institution,89
69,education.educational_institution.sports_teams,105
63,education.educational_institution_campus.educational_institution,63
148,education.educational_institution.campuses,148
148,education.educational_institution_campus.educational_institution,148
18,sports.pro_athlete.teams,65
89,education.educational_institution.campuses,89
63,education.educational_institution.campuses,63
69,education.educational_institution_campus.educational_institution,69
69,education.educational_institution.campuses,69

G describes a graph among nodes "male", ""clay matthews, jr."", "united states of america", "clay matthews iii", "california", "m.0n0g06t", "agoura high school", "m.075rpj7", ""california state university, northridge"", "academy of barbering arts", "cal state northridge matadors men's basketball", "kyle matthews", "m.0hprg7d", "university of southern california".In this graph: Node "clay matthews iii" has outgoing edges to: "male" with relation "people.person.gender". Node "clay matthews iii" has outgoing edges to: "m.0n0g06t" with relation "people.person.education". Node "clay matthews iii" has outgoing edges to: "united states of america" with relation "people.person.nationality". Node "clay matthews iii" has outgoing edges to: ""clay matthews, jr."" with relation "people.person.parents". Node "clay matthews iii" has outgoing edges to: "m.075rpj7" with relation "sports.pro_athlete.teams". Node "agoura high school" has outgoing edges to: "california" with relation "location.location.containedby". Node "agoura high school" has outgoing edges to: "agoura high school" with relation "education.educational_institution_campus.educational_institution". Node "agoura high school" has outgoing edges to: "agoura high school" with relation "education.educational_institution.campuses". Node "m.0hprg7d" has outgoing edges to: "clay matthews iii" with relation "education.education.student". Node "m.0hprg7d" has outgoing edges to: "university of southern california" with relation "education.education.institution". Node "kyle matthews" has outgoing edges to: "male" with relation "people.person.gender". Node ""california state university, northridge"" has outgoing edges to: "california" with relation "location.location.containedby". Node ""california state university, northridge"" has outgoing edges to: "cal state northridge matadors men's basketball" with relation "education.educational_institution.sports_teams". Node ""california state university, northridge"" has outgoing edges to: ""california state university, northridge"" with relation "education.educational_institution_campus.educational_institution". Node ""california state university, northridge"" has outgoing edges to: ""california state university, northridge"" with relation "education.educational_institution.campuses". Node "m.0n0g06t" has outgoing edges to: "agoura high school" with relation "education.education.institution". Node "academy of barbering arts" has outgoing edges to: "united states of america" with relation "location.location.containedby". Node "academy of barbering arts" has outgoing edges to: "academy of barbering arts" with relation "education.educational_institution_campus.educational_institution". Node "academy of barbering arts" has outgoing edges to: "academy of barbering arts" with relation "education.educational_institution.campuses". Node "university of southern california" has outgoing edges to: "university of southern california" with relation "education.educational_institution.campuses". Node "university of southern california" has outgoing edges to: "university of southern california" with relation "education.educational_institution_campus.educational_institution".

("clay matthews iii", "people.person.gender", "male"), ("clay matthews iii", "people.person.education", "m.0n0g06t"), ("clay matthews iii", "people.person.nationality", "united states of america"), ("clay matthews iii", "people.person.parents", ""clay matthews, jr.""), ("clay matthews iii", "sports.pro_athlete.teams", "m.075rpj7"), ("agoura high school", "location.location.containedby", "california"), ("agoura high school", "education.educational_institution_campus.educational_institution", "agoura high school"), ("agoura high school", "education.educational_institution.campuses", "agoura high school"), ("m.0hprg7d", "education.education.student", "clay matthews iii"), ("m.0hprg7d", "education.education.institution", "university of southern california"), ("kyle matthews", "people.person.gender", "male"), (""california state university, northridge"", "location.location.containedby", "california"), (""california state university, northridge"", "education.educational_institution.sports_teams", "cal state northridge matadors men's basketball"), (""california state university, northridge"", "education.educational_institution_campus.educational_institution", ""california state university, northridge""), (""california state university, northridge"", "education.educational_institution.campuses", ""california state university, northridge""), ("m.0n0g06t", "education.education.institution", "agoura high school"), ("academy of barbering arts", "location.location.containedby", "united states of america"), ("academy of barbering arts", "education.educational_institution_campus.educational_institution", "academy of barbering arts"), ("academy of barbering arts", "education.educational_institution.campuses", "academy of barbering arts"), ("university of southern california", "education.educational_institution.campuses", "university of southern california"), ("university of southern california", "education.educational_institution_campus.educational_institution", "university of southern california")

Clay Matthews III, a male from the United States of America, is the son of Clay Matthews, Jr. He attended Agoura High School, located in California, and later pursued education at the University of Southern California. His educational background also includes a record linked to the Academy of Barbering Arts in the United States. Professionally, Matthews III is a pro athlete who has played for teams associated with m.075rpj7. Additionally, his educational record m.0n0g06t is linked to Agoura High School. Another individual, Kyle Matthews, is also male. California State University, Northridge, located in California, is noted for its sports teams, including the Cal State Northridge Matadors men's basketball team, though it does not directly connect to Clay Matthews III's education in the provided data.

Clay Matthews III attended Agoura High School, which is located in California, before pursuing higher education at the University of Southern California.

Clay Matthews attended Agoura High School, as indicated by the connection "m.0n0g06t" linked to "agoura high school" under his education. Additionally, he pursued higher education at the University of Southern California, as shown by the record "m.0hprg7d" linking him to "university of southern california" as an institution he studied at.

Clay Matthews III attended Agoura High School, which is located in California, and later pursued higher education at the University of Southern California.

Clay Matthews attended Agoura High School, as indicated by the connection "m.0n0g06t" representing his education record linked to "agoura high school". Additionally, his education history includes attending the University of Southern California.

Clay Matthews attended Agoura High School and later pursued higher education at the University of Southern California.


Question: what time is it in texas houston right now

You are a graph analyst and you have been given a graph G among "houston", "houston texans", "central time zone", "port of houston", "football time in houston", "second sunday in march", "first sunday in november". G has the following directed edges: "houston texans"-(sports.sports_team.location)->"houston", "houston texans"-(sports.sports_team.fight_song)->"football time in houston", "port of houston"-(location.location.time_zones)->"central time zone", "houston"-(location.location.time_zones)->"central time zone", "central time zone"-(time.time_zone.day_dst_begins)->"second sunday in march", "central time zone"-(time.time_zone.day_dst_ends)->"first sunday in november".

node_id,node_attr
6,houston
96,houston texans
305,central time zone
581,port of houston
993,football time in houston
1418,second sunday in march
1700,first sunday in november

src,edge_attr,dst
96,sports.sports_team.location,6
96,sports.sports_team.fight_song,993
581,location.location.time_zones,305
6,location.location.time_zones,305
305,time.time_zone.day_dst_begins,1418
305,time.time_zone.day_dst_ends,1700

G describes a graph among nodes "houston", "houston texans", "central time zone", "port of houston", "football time in houston", "second sunday in march", "first sunday in november".In this graph: Node "houston texans" has outgoing edges to: "houston" with relation "sports.sports_team.location". Node "houston texans" has outgoing edges to: "football time in houston" with relation "sports.sports_team.fight_song". Node "port of houston" has outgoing edges to: "central time zone" with relation "location.location.time_zones". Node "houston" has outgoing edges to: "central time zone" with relation "location.location.time_zones". Node "central time zone" has outgoing edges to: "second sunday in march" with relation "time.time_zone.day_dst_begins". Node "central time zone" has outgoing edges to: "first sunday in november" with relation "time.time_zone.day_dst_ends".

("houston texans", "sports.sports_team.location", "houston"), ("houston texans", "sports.sports_team.fight_song", "football time in houston"), ("port of houston", "location.location.time_zones", "central time zone"), ("houston", "location.location.time_zones", "central time zone"), ("central time zone", "time.time_zone.day_dst_begins", "second sunday in march"), ("central time zone", "time.time_zone.day_dst_ends", "first sunday in november")

The Houston Texans, based in Houston, perform to the fight song "Football Time in Houston." Both the Houston Texans and the city of Houston are located in the Central Time Zone, which observes Daylight Saving Time beginning on the second Sunday in March and reverting back on the first Sunday in November. The Port of Houston also operates within the Central Time Zone.

Houston is located in the Central Time Zone, which means it observes Central Time unless observing Daylight Saving Time, transitioning to DST on the second Sunday in March and reverting on the first Sunday in November. Currently, without specific date information provided, the exact time cannot be determined from the graph alone, but it would be within Central Standard Time (CST) or Central Daylight Time (CDT) depending on the time of year.

Houston, where the Houston Texans are located and the Port of Houston operates, is in the Central Time Zone year-round, observing Daylight Saving Time from the second Sunday in March until the first Sunday in November.

Houston is located in the Central Time Zone. The specific current time in Houston, Texas, is not provided in the graph data. Daylight Saving Time in the Central Time Zone begins on the second Sunday in March and ends on the first Sunday in November.

Houston, including the location of the Houston Texans and the Port of Houston, operates within the Central Time Zone, which observes Daylight Saving Time beginning on the second Sunday in March and ending on the first Sunday in November. Without specific current date and time data, the exact time in Houston cannot be provided from this information alone.

Houston is located in the Central Time Zone, which does not provide real-time clock information but indicates that for current time inquiries, one should refer to the local time within the Central Time Zone standards, adjusting for daylight saving time between the second Sunday in March and the first Sunday in November.


Question: who is princess leia in star wars

You are a graph analyst and you have been given a graph G among "george lucas", "luke skywalker", "star wars: from the adventures of luke skywalker", "luuke skywalker". G has the following directed edges: "luke skywalker"-(fictional_universe.fictional_character.character_created_by)->"george lucas", "luke skywalker"-(base.fictionaluniverse.cloned_character.clones)->"luuke skywalker", "george lucas"-(book.author.works_written)->"star wars: from the adventures of luke skywalker".

node_id,node_attr
1,george lucas
76,luke skywalker
209,star wars: from the adventures of luke skywalker
304,luuke skywalker

src,edge_attr,dst
76,fictional_universe.fictional_character.character_created_by,1
1,book.author.works_written,209
76,base.fictionaluniverse.cloned_character.clones,304

G describes a graph among nodes "george lucas", "luke skywalker", "star wars: from the adventures of luke skywalker", "luuke skywalker".In this graph: Node "luke skywalker" has outgoing edges to: "george lucas" with relation "fictional_universe.fictional_character.character_created_by". Node "luke skywalker" has outgoing edges to: "luuke skywalker" with relation "base.fictionaluniverse.cloned_character.clones". Node "george lucas" has outgoing edges to: "star wars: from the adventures of luke skywalker" with relation "book.author.works_written".

("luke skywalker", "fictional_universe.fictional_character.character_created_by", "george lucas"), ("luke skywalker", "base.fictionaluniverse.cloned_character.clones", "luuke skywalker"), ("george lucas", "book.author.works_written", "star wars: from the adventures of luke skywalker")

Luke Skywalker, a character created by George Lucas, exists within a fictional universe that includes a clone named Luuke Skywalker. George Lucas is also the author of "Star Wars: From the Adventures of Luke Skywalker."

Princess Leia is not directly mentioned in the provided graph; however, the graph indicates that George Lucas created fictional characters within the Star Wars universe, which includes Luke Skywalker, suggesting Princess Leia, another significant character, was also created by George Lucas as part of the same fictional universe.

The provided graph does not contain specific information about Princess Leia. However, it establishes that George Lucas created fictional characters within the Star Wars universe, including Luke Skywalker, as mentioned in works like "Star Wars: From the Adventures of Luke Skywalker." For direct facts about Princess Leia, the graph lacks pertinent details.

Princess Leia is not directly mentioned in the provided graph; however, the graph indicates that George Lucas created fictional characters within the Star Wars universe, suggesting Princess Leia, like Luke Skywalker, is a fictional character developed by George Lucas for the Star Wars saga.

Princess Leia is not directly mentioned in the provided graph; however, the graph indicates that Luke Skywalker, a character created by George Lucas within the Star Wars fictional universe, is central to works written by Lucas such as "Star Wars: From the Adventures of Luke Skywalker." Additional details specific to Princess Leia are absent from this graph.

The provided graph does not contain direct information about Princess Leia. It primarily discusses Luke Skywalker, noting he is a character created by George Lucas within the Star Wars universe, and mentions a clone character named Luuke Skywalker and one of Lucas's works related to Luke Skywalker. No explicit facts about Princess Leia are present.


Question: what is the political structure of china

You are a graph analyst and you have been given a graph G among "china", "north korea", "vietnam", "communist state", "laos", "single-party state", "government of china", "communist party of china", "legislative affairs office of china", "socialist state". G has the following directed edges: "legislative affairs office of china"-(government.government_agency.jurisdiction)->"china", "china"-(organization.organization_scope.organizations_with_this_scope)->"communist party of china", "government of china"-(government.government.government_for)->"china", "communist state"-(government.form_of_government.countries)->"china", "communist state"-(government.form_of_government.countries)->"laos", "communist state"-(government.form_of_government.countries)->"vietnam", "socialist state"-(government.form_of_government.countries)->"vietnam", "socialist state"-(government.form_of_government.countries)->"laos", "socialist state"-(government.form_of_government.countries)->"north korea", "socialist state"-(government.form_of_government.countries)->"china", "single-party state"-(government.form_of_government.countries)->"north korea", "single-party state"-(government.form_of_government.countries)->"china", "single-party state"-(government.form_of_government.countries)->"vietnam".

Single-party state
Communist state
Socialist state

node_id,node_attr
0,china
171,north korea
178,vietnam
204,communist state
224,laos
266,single-party state
366,government of china
556,communist party of china
944,legislative affairs office of china
998,socialist state

src,edge_attr,dst
944,government.government_agency.jurisdiction,0
0,organization.organization_scope.organizations_with_this_scope,556
366,government.government.government_for,0
204,government.form_of_government.countries,0
998,government.form_of_government.countries,178
204,government.form_of_government.countries,224
998,government.form_of_government.countries,224
998,government.form_of_government.countries,171
998,government.form_of_government.countries,0
266,government.form_of_government.countries,171
266,government.form_of_government.countries,0
204,government.form_of_government.countries,178
266,government.form_of_government.countries,178

G describes a graph among nodes "china", "north korea", "vietnam", "communist state", "laos", "single-party state", "government of china", "communist party of china", "legislative affairs office of china", "socialist state".In this graph: Node "legislative affairs office of china" has outgoing edges to: "china" with relation "government.government_agency.jurisdiction". Node "china" has outgoing edges to: "communist party of china" with relation "organization.organization_scope.organizations_with_this_scope". Node "government of china" has outgoing edges to: "china" with relation "government.government.government_for". Node "communist state" has outgoing edges to: "china", "laos", "vietnam" with relation "government.form_of_government.countries". Node "socialist state" has outgoing edges to: "vietnam", "laos", "north korea", "china" with relation "government.form_of_government.countries". Node "single-party state" has outgoing edges to: "north korea", "china", "vietnam" with relation "government.form_of_government.countries".

("legislative affairs office of china", "government.government_agency.jurisdiction", "china"), ("china", "organization.organization_scope.organizations_with_this_scope", "communist party of china"), ("government of china", "government.government.government_for", "china"), ("communist state", "government.form_of_government.countries", "china"), ("communist state", "government.form_of_government.countries", "laos"), ("communist state", "government.form_of_government.countries", "vietnam"), ("socialist state", "government.form_of_government.countries", "vietnam"), ("socialist state", "government.form_of_government.countries", "laos"), ("socialist state", "government.form_of_government.countries", "north korea"), ("socialist state", "government.form_of_government.countries", "china"), ("single-party state", "government.form_of_government.countries", "north korea"), ("single-party state", "government.form_of_government.countries", "china"), ("single-party state", "government.form_of_government.countries", "vietnam")

The Legislative Affairs Office of China operates under the jurisdiction of the Chinese government, which governs China and is affiliated with the Communist Party of China. China is characterized as a communist state and also functions as a socialist state, sharing these governmental forms with Laos and Vietnam. Additionally, China and Vietnam are identified as single-party states, a designation also held by North Korea.

China operates under a political structure characterized as a single-party state governed by the Communist Party of China, functioning as a communist state with governmental affairs overseen by entities like the Legislative Affairs Office, all within the broader scope of a socialist framework.

China operates under a communist state structure characterized as a single-party state where the Communist Party of China holds jurisdiction and governance, overseeing governmental affairs through entities like the Government of China, while also being classified as a socialist state.

China operates under a communist state structure, functioning as a single-party state governed primarily by the Communist Party of China, with the Government of China overseeing legislative affairs through agencies like the Legislative Affairs Office, all operating within the broader scope of a socialist state framework.

China operates as a communist state and simultaneously a socialist state, characterized as a single-party political structure where the Communist Party of China holds jurisdiction and governance over the country, with the Government of China serving under its leadership.

China is characterized as a communist state and simultaneously classified as a socialist state and a single-party state, with the Communist Party of China holding jurisdiction and organizational scope over the nation. The governmental structure includes the Government of China as the executive entity operating under these political frameworks.


Question: what is new york city airport

You are a graph analyst and you have been given a graph G among "new york city", "queens", "college point", "new york metropolitan area", "john f. kennedy international airport", "viceroy new york", "garden city", "east 34th street heliport", "new york", "downtown manhattan heliport", "mbsf - private jets", "laguardia airport", "flushing airport", "new york skyports inc. seaplane base", "mitchel air force base", "newark liberty international airport". G has the following directed edges: "john f. kennedy international airport"-(aviation.airport.serves)->"viceroy new york", "john f. kennedy international airport"-(aviation.airport.serves)->"new york city", "john f. kennedy international airport"-(aviation.airport.serves)->"mbsf - private jets", "john f. kennedy international airport"-(aviation.airport.serves)->"queens", "downtown manhattan heliport"-(aviation.airport.serves)->"new york city", "new york skyports inc. seaplane base"-(aviation.airport.serves)->"new york city", "new york skyports inc. seaplane base"-(aviation.airport.serves)->"new york", "laguardia airport"-(aviation.airport.serves)->"new york metropolitan area", "laguardia airport"-(aviation.airport.serves)->"new york city", "laguardia airport"-(aviation.airport.serves)->"viceroy new york", "laguardia airport"-(aviation.airport.serves)->"mbsf - private jets", "flushing airport"-(aviation.airport.serves)->"new york city", "flushing airport"-(aviation.airport.serves)->"college point", "east 34th street heliport"-(aviation.airport.serves)->"new york city", "newark liberty international airport"-(aviation.airport.serves)->"new york metropolitan area", "newark liberty international airport"-(aviation.airport.serves)->"new york city", "newark liberty international airport"-(aviation.airport.serves)->"viceroy new york", "mitchel air force base"-(aviation.airport.serves)->"garden city", "mitchel air force base"-(aviation.airport.serves)->"new york city".

Newark Liberty International Airport
LaGuardia Airport
John F. Kennedy International Airport

node_id,node_attr
28,new york city
47,queens
48,college point
109,new york metropolitan area
135,john f. kennedy international airport
136,viceroy new york
161,garden city
165,east 34th street heliport
170,new york
250,downtown manhattan heliport
407,mbsf - private jets
511,laguardia airport
534,flushing airport
626,new york skyports inc. seaplane base
677,mitchel air force base
1186,newark liberty international airport

src,edge_attr,dst
135,aviation.airport.serves,136
250,aviation.airport.serves,28
135,aviation.airport.serves,28
626,aviation.airport.serves,28
511,aviation.airport.serves,109
534,aviation.airport.serves,28
165,aviation.airport.serves,28
1186,aviation.airport.serves,109
511,aviation.airport.serves,28
135,aviation.airport.serves,407
1186,aviation.airport.serves,28
677,aviation.airport.serves,161
135,aviation.airport.serves,47
626,aviation.airport.serves,170
511,aviation.airport.serves,136
677,aviation.airport.serves,28
511,aviation.airport.serves,407
534,aviation.airport.serves,48
1186,aviation.airport.serves,136

G describes a graph among nodes "new york city", "queens", "college point", "new york metropolitan area", "john f. kennedy international airport", "viceroy new york", "garden city", "east 34th street heliport", "new york", "downtown manhattan heliport", "mbsf - private jets", "laguardia airport", "flushing airport", "new york skyports inc. seaplane base", "mitchel air force base", "newark liberty international airport".In this graph: Node "john f. kennedy international airport" has outgoing edges to: "viceroy new york", "new york city", "mbsf - private jets", "queens" with relation "aviation.airport.serves". Node "downtown manhattan heliport" has outgoing edges to: "new york city" with relation "aviation.airport.serves". Node "new york skyports inc. seaplane base" has outgoing edges to: "new york city", "new york" with relation "aviation.airport.serves". Node "laguardia airport" has outgoing edges to: "new york metropolitan area", "new york city", "viceroy new york", "mbsf - private jets" with relation "aviation.airport.serves". Node "flushing airport" has outgoing edges to: "new york city", "college point" with relation "aviation.airport.serves". Node "east 34th street heliport" has outgoing edges to: "new york city" with relation "aviation.airport.serves". Node "newark liberty international airport" has outgoing edges to: "new york metropolitan area", "new york city", "viceroy new york" with relation "aviation.airport.serves". Node "mitchel air force base" has outgoing edges to: "garden city", "new york city" with relation "aviation.airport.serves".

("john f. kennedy international airport", "aviation.airport.serves", "viceroy new york"), ("john f. kennedy international airport", "aviation.airport.serves", "new york city"), ("john f. kennedy international airport", "aviation.airport.serves", "mbsf - private jets"), ("john f. kennedy international airport", "aviation.airport.serves", "queens"), ("downtown manhattan heliport", "aviation.airport.serves", "new york city"), ("new york skyports inc. seaplane base", "aviation.airport.serves", "new york city"), ("new york skyports inc. seaplane base", "aviation.airport.serves", "new york"), ("laguardia airport", "aviation.airport.serves", "new york metropolitan area"), ("laguardia airport", "aviation.airport.serves", "new york city"), ("laguardia airport", "aviation.airport.serves", "viceroy new york"), ("laguardia airport", "aviation.airport.serves", "mbsf - private jets"), ("flushing airport", "aviation.airport.serves", "new york city"), ("flushing airport", "aviation.airport.serves", "college point"), ("east 34th street heliport", "aviation.airport.serves", "new york city"), ("newark liberty international airport", "aviation.airport.serves", "new york metropolitan area"), ("newark liberty international airport", "aviation.airport.serves", "new york city"), ("newark liberty international airport", "aviation.airport.serves", "viceroy new york"), ("mitchel air force base", "aviation.airport.serves", "garden city"), ("mitchel air force base", "aviation.airport.serves", "new york city")

John F. Kennedy International Airport serves Queens, New York City, the Viceroy New York, and MBSF - Private Jets. Downtown Manhattan Heliport and New York Skyports Inc. Seaplane Base serve New York City and New York more broadly. LaGuardia Airport serves the New York metropolitan area, New York City, the Viceroy New York, and MBSF - Private Jets. Flushing Airport serves New York City and College Point. East 34th Street Heliport serves New York City. Newark Liberty International Airport serves the New York metropolitan area, New York City, and the Viceroy New York. Mitchel Air Force Base serves Garden City and New York City.

New York City has several airports including John F. Kennedy International Airport, which serves New York City and its vicinity like Queens and MBSF for private jets; LaGuardia Airport, serving the New York City metropolitan area and specifically New York City; Newark Liberty International Airport, serving both the New York metropolitan area and New York City; Downtown Manhattan Heliport and East 34th Street Heliport, both serving New York City; New York Skyports Inc. Seaplane Base serving New York City and New York more broadly; and Flushing Airport, serving parts of New York City including College Point. Additionally, Mitchel Air Force Base serves New York City.

New York City has multiple airports including John F. Kennedy International Airport and LaGuardia Airport, both serving New York City and its metropolitan area directly, as well as Newark Liberty International Airport, which also serves New York City. Additional aviation facilities like the Downtown Manhattan Heliport, New York Skyports Inc. Seaplane Base, Flushing Airport, and East 34th Street Heliport primarily serve New York City. Mitchel Air Force Base serves New York City and Garden City.

New York City is served by several airports including John F. Kennedy International Airport, LaGuardia Airport, Newark Liberty International Airport, Downtown Manhattan Heliport, New York Skyports Inc. Seaplane Base, East 34th Street Heliport, and Flushing Airport, each catering to various parts of the New York metropolitan area and directly to New York City itself. Notably, John F. Kennedy International Airport and LaGuardia Airport specifically serve New York City along with entities like the Viceroy New York and MBSF - Private Jets. Newark Liberty International Airport, while serving the broader New York metropolitan area, also directly serves New York City.

New York City is served by multiple airports including John F. Kennedy International Airport, LaGuardia Airport, Newark Liberty International Airport, Downtown Manhattan Heliport, New York Skyports Inc. Seaplane Base, East 34th Street Heliport, and Flushing Airport, each catering to various parts of the New York City metropolitan area and specific regions such as Queens and the broader New York City itself.

New York City is served by several airports including John F. Kennedy International Airport, LaGuardia Airport, Newark Liberty International Airport, Downtown Manhattan Heliport, New York Skyports Inc. Seaplane Base, East 34th Street Heliport, and Flushing Airport, each catering to various destinations within the city and metropolitan area, as well as specific entities like Viceroy New York and MBsF - Private Jets. Notably, John F. Kennedy International Airport and Newark Liberty International Airport serve both New York City and the broader New York metropolitan area.


Question: what language brazil speak

You are a graph analyst and you have been given a graph G among "brazil", "brasília", "federal district", "portuguese language", "brazilian portuguese", "brazilian state", "italian language". G has the following directed edges: "federal district"-(base.biblioness.bibs_location.country)->"brazil", "federal district"-(location.br_state.capital)->"brasília", "brazil"-(base.aareas.schema.administrative_area.pertinent_type)->"brazilian state", "brazil"-(location.country.official_language)->"portuguese language", "brazilian portuguese"-(language.language_dialect.language)->"portuguese language", "brazilian portuguese"-(language.human_language.countries_spoken_in)->"brazil", "brazilian portuguese"-(language.human_language.main_country)->"brazil", "italian language"-(language.human_language.countries_spoken_in)->"brazil", "portuguese language"-(language.human_language.countries_spoken_in)->"brazil".

Brazilian Portuguese
Portuguese Language
Italian Language

node_id,node_attr
2,brazil
16,brasília
17,federal district
43,portuguese language
44,brazilian portuguese
248,brazilian state
827,italian language

src,edge_attr,dst
17,base.biblioness.bibs_location.country,2
2,base.aareas.schema.administrative_area.pertinent_type,248
44,language.language_dialect.language,43
827,language.human_language.countries_spoken_in,2
43,language.human_language.countries_spoken_in,2
2,location.country.official_language,43
17,location.br_state.capital,16
44,language.human_language.countries_spoken_in,2
44,language.human_language.main_country,2

G describes a graph among nodes "brazil", "brasília", "federal district", "portuguese language", "brazilian portuguese", "brazilian state", "italian language".In this graph: Node "federal district" has outgoing edges to: "brazil" with relation "base.biblioness.bibs_location.country". Node "federal district" has outgoing edges to: "brasília" with relation "location.br_state.capital". Node "brazil" has outgoing edges to: "brazilian state" with relation "base.aareas.schema.administrative_area.pertinent_type". Node "brazil" has outgoing edges to: "portuguese language" with relation "location.country.official_language". Node "brazilian portuguese" has outgoing edges to: "portuguese language" with relation "language.language_dialect.language". Node "brazilian portuguese" has outgoing edges to: "brazil" with relation "language.human_language.countries_spoken_in". Node "brazilian portuguese" has outgoing edges to: "brazil" with relation "language.human_language.main_country". Node "italian language" has outgoing edges to: "brazil" with relation "language.human_language.countries_spoken_in". Node "portuguese language" has outgoing edges to: "brazil" with relation "language.human_language.countries_spoken_in".

("federal district", "base.biblioness.bibs_location.country", "brazil"), ("federal district", "location.br_state.capital", "brasília"), ("brazil", "base.aareas.schema.administrative_area.pertinent_type", "brazilian state"), ("brazil", "location.country.official_language", "portuguese language"), ("brazilian portuguese", "language.language_dialect.language", "portuguese language"), ("brazilian portuguese", "language.human_language.countries_spoken_in", "brazil"), ("brazilian portuguese", "language.human_language.main_country", "brazil"), ("italian language", "language.human_language.countries_spoken_in", "brazil"), ("portuguese language", "language.human_language.countries_spoken_in", "brazil")

The Federal District is located in Brazil, with Brasília serving as its capital. Brazil is characterized by its administrative division into Brazilian states, with Portuguese being its official language. Brazilian Portuguese, a dialect of Portuguese, is predominantly spoken in Brazil, though Italian is also spoken there. Portuguese, in general, is also used in Brazil.

Brazil's official language is Portuguese, specifically a variant known as Brazilian Portuguese, which is predominantly spoken throughout the country.

Portuguese, specifically referred to as Brazilian Portuguese, is the official language of Brazil and is predominantly spoken throughout the country.

Brazil's official language is Portuguese, specifically known as Brazilian Portuguese, which is predominantly spoken across the country including in its capital, Brasília. While Italian is also spoken in Brazil, Portuguese is the main language used nationally.

Portuguese language, specifically Brazilian Portuguese, is the official and predominant language spoken in Brazil.

The official language of Brazil is Portuguese, specifically referred to as Brazilian Portuguese, which is predominantly spoken throughout the country.


Question: who played obi wan in episode 2

You are a graph analyst and you have been given a graph G among "star wars expanded universe", "star wars episode i: the phantom menace", "return of the jedi", "star wars: the force awakens", "star wars episode v: the empire strikes back", "star wars episode iii: revenge of the sith", "star wars", "star wars episode ii: attack of the clones", "star wars: episode ix", "star wars: episode viii", "star wars: jedi apprentice", "star wars episode i adventures". G has the following directed edges: "star wars episode iii: revenge of the sith"-(fictional_universe.work_of_fiction.part_of_these_fictional_universes)->"star wars expanded universe", "star wars episode iii: revenge of the sith"-(film.film.prequel)->"star wars episode ii: attack of the clones", "star wars expanded universe"-(fictional_universe.fictional_universe.literary_series_set_here)->"star wars episode i adventures", "star wars expanded universe"-(fictional_universe.fictional_universe.literary_series_set_here)->"star wars: jedi apprentice", "star wars: episode ix"-(film.film.prequel)->"star wars: episode viii", "star wars episode ii: attack of the clones"-(film.film.prequel)->"star wars episode i: the phantom menace", "star wars"-(film.film.prequel)->"star wars episode iii: revenge of the sith", "star wars episode v: the empire strikes back"-(film.film.prequel)->"star wars", "star wars: the force awakens"-(film.film.prequel)->"return of the jedi", "return of the jedi"-(film.film.prequel)->"star wars episode v: the empire strikes back", "star wars: episode viii"-(film.film.prequel)->"star wars: the force awakens".

node_id,node_attr
13,star wars expanded universe
48,star wars episode i: the phantom menace
51,return of the jedi
52,star wars: the force awakens
79,star wars episode v: the empire strikes back
104,star wars episode iii: revenge of the sith
123,star wars
140,star wars episode ii: attack of the clones
268,star wars: episode ix
269,star wars: episode viii
596,star wars: jedi apprentice
1093,star wars episode i adventures

src,edge_attr,dst
104,fictional_universe.work_of_fiction.part_of_these_fictional_universes,13
13,fictional_universe.fictional_universe.literary_series_set_here,1093
13,fictional_universe.fictional_universe.literary_series_set_here,596
268,film.film.prequel,269
140,film.film.prequel,48
123,film.film.prequel,104
79,film.film.prequel,123
52,film.film.prequel,51
51,film.film.prequel,79
269,film.film.prequel,52
104,film.film.prequel,140

G describes a graph among nodes "star wars expanded universe", "star wars episode i: the phantom menace", "return of the jedi", "star wars: the force awakens", "star wars episode v: the empire strikes back", "star wars episode iii: revenge of the sith", "star wars", "star wars episode ii: attack of the clones", "star wars: episode ix", "star wars: episode viii", "star wars: jedi apprentice", "star wars episode i adventures".In this graph: Node "star wars episode iii: revenge of the sith" has outgoing edges to: "star wars expanded universe" with relation "fictional_universe.work_of_fiction.part_of_these_fictional_universes". Node "star wars episode iii: revenge of the sith" has outgoing edges to: "star wars episode ii: attack of the clones" with relation "film.film.prequel". Node "star wars expanded universe" has outgoing edges to: "star wars episode i adventures", "star wars: jedi apprentice" with relation "fictional_universe.fictional_universe.literary_series_set_here". Node "star wars: episode ix" has outgoing edges to: "star wars: episode viii" with relation "film.film.prequel". Node "star wars episode ii: attack of the clones" has outgoing edges to: "star wars episode i: the phantom menace" with relation "film.film.prequel". Node "star wars" has outgoing edges to: "star wars episode iii: revenge of the sith" with relation "film.film.prequel". Node "star wars episode v: the empire strikes back" has outgoing edges to: "star wars" with relation "film.film.prequel". Node "star wars: the force awakens" has outgoing edges to: "return of the jedi" with relation "film.film.prequel". Node "return of the jedi" has outgoing edges to: "star wars episode v: the empire strikes back" with relation "film.film.prequel". Node "star wars: episode viii" has outgoing edges to: "star wars: the force awakens" with relation "film.film.prequel".

("star wars episode iii: revenge of the sith", "fictional_universe.work_of_fiction.part_of_these_fictional_universes", "star wars expanded universe"), ("star wars episode iii: revenge of the sith", "film.film.prequel", "star wars episode ii: attack of the clones"), ("star wars expanded universe", "fictional_universe.fictional_universe.literary_series_set_here", "star wars episode i adventures"), ("star wars expanded universe", "fictional_universe.fictional_universe.literary_series_set_here", "star wars: jedi apprentice"), ("star wars: episode ix", "film.film.prequel", "star wars: episode viii"), ("star wars episode ii: attack of the clones", "film.film.prequel", "star wars episode i: the phantom menace"), ("star wars", "film.film.prequel", "star wars episode iii: revenge of the sith"), ("star wars episode v: the empire strikes back", "film.film.prequel", "star wars"), ("star wars: the force awakens", "film.film.prequel", "return of the jedi"), ("return of the jedi", "film.film.prequel", "star wars episode v: the empire strikes back"), ("star wars: episode viii", "film.film.prequel", "star wars: the force awakens")

"Star Wars Episode III: Revenge of the Sith" is a prequel to "Star Wars Episode II: Attack of the Clones" and part of the Star Wars Expanded Universe, which includes literary series such as "Star Wars Episode I Adventures" and "Star Wars: Jedi Apprentice."  "Star Wars Episode III: Revenge of the Sith" itself is also a prequel to the broader "Star Wars" saga,  "Star Wars Episode V: The Empire Strikes Back," and "Return of the Jedi," with "Star Wars: The Force Awakens" and "Star Wars Episode VIII" following "Return of the Jedi" in the franchise's timeline.

Obi-Wan Kenobi appears in "Star Wars Episode II: Attack of the Clones," but the provided graph does not specify the actor who portrayed him in that episode.

In "Star Wars Episode II: Attack of the Clones," Obi-Wan Kenobi was portrayed by Ewan McGregor, though this specific actor detail is not directly provided in the given graph data. The graph primarily establishes the film's place within the Star Wars prequel trilogy sequence.

Ewan McGregor played Obi-Wan Kenobi in "Star Wars Episode II: Attack of the Clones."

Ewan McGregor played Obi-Wan Kenobi in "Star Wars Episode II: Attack of the Clones," which is a prequel to "Star Wars Episode I: The Phantom Menace."


Question: where did venus williams come from

You are a graph analyst and you have been given a graph G among "lynwood", "venus williams", "united states of america", "venus & serena williams", "m.0d8r1hx", "venus williams pictures", "kevin costner", "marc anthony". G has the following directed edges: "venus williams"-(common.topic.webpage)->"m.0d8r1hx", "m.0d8r1hx"-(common.webpage.resource)->"venus williams pictures", "kevin costner"-(people.person.nationality)->"united states of america", "venus & serena williams"-(book.written_work.subjects)->"venus williams", "lynwood"-(location.location.people_born_here)->"venus williams", "lynwood"-(location.location.people_born_here)->"kevin costner", "marc anthony"-(music.artist.origin)->"united states of america".

node_id,node_attr
13,lynwood
22,venus williams
26,united states of america
139,venus & serena williams
191,m.0d8r1hx
192,venus williams pictures
221,kevin costner
256,marc anthony

src,edge_attr,dst
22,common.topic.webpage,191
191,common.webpage.resource,192
221,people.person.nationality,26
139,book.written_work.subjects,22
13,location.location.people_born_here,22
256,music.artist.origin,26
13,location.location.people_born_here,221

G describes a graph among nodes "lynwood", "venus williams", "united states of america", "venus & serena williams", "m.0d8r1hx", "venus williams pictures", "kevin costner", "marc anthony".In this graph: Node "venus williams" has outgoing edges to: "m.0d8r1hx" with relation "common.topic.webpage". Node "m.0d8r1hx" has outgoing edges to: "venus williams pictures" with relation "common.webpage.resource". Node "kevin costner" has outgoing edges to: "united states of america" with relation "people.person.nationality". Node "venus & serena williams" has outgoing edges to: "venus williams" with relation "book.written_work.subjects". Node "lynwood" has outgoing edges to: "venus williams", "kevin costner" with relation "location.location.people_born_here". Node "marc anthony" has outgoing edges to: "united states of america" with relation "music.artist.origin".

("venus williams", "common.topic.webpage", "m.0d8r1hx"), ("m.0d8r1hx", "common.webpage.resource", "venus williams pictures"), ("kevin costner", "people.person.nationality", "united states of america"), ("venus & serena williams", "book.written_work.subjects", "venus williams"), ("lynwood", "location.location.people_born_here", "venus williams"), ("lynwood", "location.location.people_born_here", "kevin costner"), ("marc anthony", "music.artist.origin", "united states of america")

Venus Williams is associated with a webpage (m.0d8r1hx) featuring her pictures, and she was born in Lynwood, which is also the birthplace of Kevin Costner. Both Venus Williams and Kevin Costner hold nationality in the United States of America. The book "Venus & Serena Williams" focuses on Venus Williams, and Marc Anthony, another artist from the United States, shares the same country of origin.

Venus Williams was born in Lynwood.
Venus Williams was born in Lynwood.
Venus Williams was born in Lynwood.
Venus Williams was born in Lynwood.
Venus Williams was born in Lynwood.


Question: what currency is used in panama

You are a graph analyst and you have been given a graph G among "panama", "m.0nf9l6x", "m.0nf9lbp", "m.0nfc8hm", "united states dollar", "m.0nf9lby", "m.0js0xmw", "m.0nfc8gm", "m.0nf9l7n", "people's party of panama", "flag of panama", "m.0nf9l5n", "m.0nfc8bk", "m.0nfc87j", "m.0nfc8c1", "m.0nfc888", "m.0nfc8c9", "m.0nf9l8y", "president of panama", "m.0nfc8d3", "m.0nfc8dm", "m.0nf9l8p", "coat of arms of panama", "m.0nfc8hc", "m.0nf9l9f", "m.0nfc8ck", "m.0nfc8fm", "m.0nf9l5x", "m.0nf9lcf", "m.0nfc8dc", "m.0nfc8gw", "m.0nf9l7d", "m.0nfc8dw", "m.0nf9ld5", "m.0nfc8b1", "m.0nfc89t", "m.0nf9l74", "m.0nf9l4w", "m.0nf9l6d", "m.0nfc8f4", "m.0nf9l84", "m.0nfc8gc", "m.0nfc8g3", "m.0nf9l43", "m.0nfc88j", "m.0nfc87s", "m.0nfc890", "m.0nfc88s", "m.0nfc899", "m.0nf9l4m", "m.0nfc8fw", "m.0nfc8cw", "m.0nf9lb5", "m.0nf9l9p", "m.0nf9l9y", "m.0nf9lc5", "m.0nf9l7x", "m.0nf9l64", "m.0nf9l95", "m.0nfc8b9", "m.0nf9lcy", "m.0nf9l4c", "m.0nfc8bt", "m.0nf9lcp", "m.0nf9l5c", "m.0nfc89k", "m.0nf9l6n", "m.0nfc880", "m.0nf9lbf", "m.0nfc8h3", "m.0nf9l53", "m.05nc32q". G has the following directed edges: "panama"-(organization.organization_scope.organizations_with_this_scope)->"people's party of panama", "m.0js0xmw"-(symbols.flag_use.flag_user)->"panama", "people's party of panama"-(common.topic.image)->"coat of arms of panama", "flag of panama"-(symbols.flag.used_by)->"m.0js0xmw", "president of panama"-(government.government_office_or_title.jurisdiction)->"panama", "united states dollar"-(finance.currency.countries_used)->"panama", "m.0nfc8hm"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l7n"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8bk"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc87j"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8gm"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8c1"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8c9"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc888"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8fm"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l5x"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9ld5"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc89t"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8dc"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l74"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l4w"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lbp"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8f4"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8g3"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l43"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l5n"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8gw"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc88s"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc899"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l4m"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8fw"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8hc"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l9y"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8d3"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8b1"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lc5"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l95"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8b9"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lcy"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc88j"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l4c"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8gc"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8dw"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l5c"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8bt"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lb5"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8dm"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l8p"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc89k"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lbf"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l7d"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l6n"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lcf"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l84"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l6x"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l53"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc880"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.05nc32q"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l8y"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l7x"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8cw"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8ck"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lby"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l9f"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lcp"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc890"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8h3"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l6d"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc87s"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l9p"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9l64"-(measurement_unit.dated_money_value.currency)->"united states dollar".

node_id,node_attr
0,panama
8,m.0nf9l6x
19,m.0nf9lbp
31,m.0nfc8hm
32,united states dollar
44,m.0nf9lby
58,m.0js0xmw
109,m.0nfc8gm
160,m.0nf9l7n
177,people's party of panama
188,flag of panama
201,m.0nf9l5n
207,m.0nfc8bk
216,m.0nfc87j
283,m.0nfc8c1
367,m.0nfc888
386,m.0nfc8c9
395,m.0nf9l8y
405,president of panama
419,m.0nfc8d3
425,m.0nfc8dm
430,m.0nf9l8p
432,coat of arms of panama
483,m.0nfc8hc
485,m.0nf9l9f
539,m.0nfc8ck
541,m.0nfc8fm
586,m.0nf9l5x
617,m.0nf9lcf
639,m.0nfc8dc
657,m.0nfc8gw
667,m.0nf9l7d
695,m.0nfc8dw
697,m.0nf9ld5
720,m.0nfc8b1
725,m.0nfc89t
739,m.0nf9l74
740,m.0nf9l4w
778,m.0nf9l6d
821,m.0nfc8f4
834,m.0nf9l84
860,m.0nfc8gc
866,m.0nfc8g3
877,m.0nf9l43
899,m.0nfc88j
964,m.0nfc87s
968,m.0nfc890
976,m.0nfc88s
977,m.0nfc899
1034,m.0nf9l4m
1059,m.0nfc8fw
1083,m.0nfc8cw
1086,m.0nf9lb5
1129,m.0nf9l9p
1130,m.0nf9l9y
1151,m.0nf9lc5
1162,m.0nf9l7x
1168,m.0nf9l64
1194,m.0nf9l95
1207,m.0nfc8b9
1208,m.0nf9lcy
1255,m.0nf9l4c
1324,m.0nfc8bt
1328,m.0nf9lcp
1345,m.0nf9l5c
1395,m.0nfc89k
1433,m.0nf9l6n
1457,m.0nfc880
1458,m.0nf9lbf
1535,m.0nfc8h3
1646,m.0nf9l53
1664,m.05nc32q

src,edge_attr,dst
0,organization.organization_scope.organizations_with_this_scope,177
58,symbols.flag_use.flag_user,0
177,common.topic.image,432
188,symbols.flag.used_by,58
405,government.government_office_or_title.jurisdiction,0
32,finance.currency.countries_used,0
31,measurement_unit.dated_money_value.currency,32
160,measurement_unit.dated_money_value.currency,32
207,measurement_unit.dated_money_value.currency,32
216,measurement_unit.dated_money_value.currency,32
109,measurement_unit.dated_money_value.currency,32
283,measurement_unit.dated_money_value.currency,32
386,measurement_unit.dated_money_value.currency,32
367,measurement_unit.dated_money_value.currency,32
541,measurement_unit.dated_money_value.currency,32
586,measurement_unit.dated_money_value.currency,32
697,measurement_unit.dated_money_value.currency,32
725,measurement_unit.dated_money_value.currency,32
639,measurement_unit.dated_money_value.currency,32
739,measurement_unit.dated_money_value.currency,32
740,measurement_unit.dated_money_value.currency,32
19,measurement_unit.dated_money_value.currency,32
821,measurement_unit.dated_money_value.currency,32
866,measurement_unit.dated_money_value.currency,32
877,measurement_unit.dated_money_value.currency,32
201,measurement_unit.dated_money_value.currency,32
657,measurement_unit.dated_money_value.currency,32
976,measurement_unit.dated_money_value.currency,32
977,measurement_unit.dated_money_value.currency,32
1034,measurement_unit.dated_money_value.currency,32
1059,measurement_unit.dated_money_value.currency,32
483,measurement_unit.dated_money_value.currency,32
1130,measurement_unit.dated_money_value.currency,32
419,measurement_unit.dated_money_value.currency,32
720,measurement_unit.dated_money_value.currency,32
1151,measurement_unit.dated_money_value.currency,32
1194,measurement_unit.dated_money_value.currency,32
1207,measurement_unit.dated_money_value.currency,32
1208,measurement_unit.dated_money_value.currency,32
899,measurement_unit.dated_money_value.currency,32
1255,measurement_unit.dated_money_value.currency,32
860,measurement_unit.dated_money_value.currency,32
695,measurement_unit.dated_money_value.currency,32
1345,measurement_unit.dated_money_value.currency,32
1324,measurement_unit.dated_money_value.currency,32
1086,measurement_unit.dated_money_value.currency,32
425,measurement_unit.dated_money_value.currency,32
430,measurement_unit.dated_money_value.currency,32
1395,measurement_unit.dated_money_value.currency,32
1458,measurement_unit.dated_money_value.currency,32
667,measurement_unit.dated_money_value.currency,32
1433,measurement_unit.dated_money_value.currency,32
617,measurement_unit.dated_money_value.currency,32
834,measurement_unit.dated_money_value.currency,32
8,measurement_unit.dated_money_value.currency,32
1646,measurement_unit.dated_money_value.currency,32
1457,measurement_unit.dated_money_value.currency,32
1664,measurement_unit.dated_money_value.currency,32
395,measurement_unit.dated_money_value.currency,32
1162,measurement_unit.dated_money_value.currency,32
1083,measurement_unit.dated_money_value.currency,32
539,measurement_unit.dated_money_value.currency,32
44,measurement_unit.dated_money_value.currency,32
485,measurement_unit.dated_money_value.currency,32
1328,measurement_unit.dated_money_value.currency,32
968,measurement_unit.dated_money_value.currency,32
1535,measurement_unit.dated_money_value.currency,32
778,measurement_unit.dated_money_value.currency,32
964,measurement_unit.dated_money_value.currency,32
1129,measurement_unit.dated_money_value.currency,32
1168,measurement_unit.dated_money_value.currency,32

G describes a graph among nodes "panama", "m.0nf9l6x", "m.0nf9lbp", "m.0nfc8hm", "united states dollar", "m.0nf9lby", "m.0js0xmw", "m.0nfc8gm", "m.0nf9l7n", "people's party of panama", "flag of panama", "m.0nf9l5n", "m.0nfc8bk", "m.0nfc87j", "m.0nfc8c1", "m.0nfc888", "m.0nfc8c9", "m.0nf9l8y", "president of panama", "m.0nfc8d3", "m.0nfc8dm", "m.0nf9l8p", "coat of arms of panama", "m.0nfc8hc", "m.0nf9l9f", "m.0nfc8ck", "m.0nfc8fm", "m.0nf9l5x", "m.0nf9lcf", "m.0nfc8dc", "m.0nfc8gw", "m.0nf9l7d", "m.0nfc8dw", "m.0nf9ld5", "m.0nfc8b1", "m.0nfc89t", "m.0nf9l74", "m.0nf9l4w", "m.0nf9l6d", "m.0nfc8f4", "m.0nf9l84", "m.0nfc8gc", "m.0nfc8g3", "m.0nf9l43", "m.0nfc88j", "m.0nfc87s", "m.0nfc890", "m.0nfc88s", "m.0nfc899", "m.0nf9l4m", "m.0nfc8fw", "m.0nfc8cw", "m.0nf9lb5", "m.0nf9l9p", "m.0nf9l9y", "m.0nf9lc5", "m.0nf9l7x", "m.0nf9l64", "m.0nf9l95", "m.0nfc8b9", "m.0nf9lcy", "m.0nf9l4c", "m.0nfc8bt", "m.0nf9lcp", "m.0nf9l5c", "m.0nfc89k", "m.0nf9l6n", "m.0nfc880", "m.0nf9lbf", "m.0nfc8h3", "m.0nf9l53", "m.05nc32q".In this graph: Node "panama" has outgoing edges to: "people's party of panama" with relation "organization.organization_scope.organizations_with_this_scope". Node "m.0js0xmw" has outgoing edges to: "panama" with relation "symbols.flag_use.flag_user". Node "people's party of panama" has outgoing edges to: "coat of arms of panama" with relation "common.topic.image". Node "flag of panama" has outgoing edges to: "m.0js0xmw" with relation "symbols.flag.used_by". Node "president of panama" has outgoing edges to: "panama" with relation "government.government_office_or_title.jurisdiction". Node "united states dollar" has outgoing edges to: "panama" with relation "finance.currency.countries_used". Node "m.0nfc8hm" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l7n" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8bk" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc87j" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8gm" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8c1" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8c9" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc888" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8fm" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l5x" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9ld5" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc89t" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8dc" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l74" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l4w" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lbp" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8f4" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8g3" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l43" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l5n" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8gw" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc88s" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc899" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l4m" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8fw" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8hc" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l9y" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8d3" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8b1" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lc5" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l95" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8b9" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lcy" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc88j" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l4c" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8gc" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8dw" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l5c" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8bt" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lb5" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8dm" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l8p" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc89k" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lbf" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l7d" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l6n" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lcf" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l84" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l6x" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l53" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc880" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.05nc32q" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l8y" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l7x" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8cw" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8ck" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lby" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l9f" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lcp" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc890" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8h3" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l6d" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc87s" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l9p" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9l64" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency".

("panama", "organization.organization_scope.organizations_with_this_scope", "people's party of panama"), ("m.0js0xmw", "symbols.flag_use.flag_user", "panama"), ("people's party of panama", "common.topic.image", "coat of arms of panama"), ("flag of panama", "symbols.flag.used_by", "m.0js0xmw"), ("president of panama", "government.government_office_or_title.jurisdiction", "panama"), ("united states dollar", "finance.currency.countries_used", "panama"), ("m.0nfc8hm", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l7n", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8bk", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc87j", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8gm", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8c1", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8c9", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc888", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8fm", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l5x", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9ld5", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc89t", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8dc", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l74", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l4w", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lbp", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8f4", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8g3", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l43", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l5n", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8gw", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc88s", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc899", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l4m", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8fw", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8hc", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l9y", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8d3", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8b1", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lc5", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l95", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8b9", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lcy", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc88j", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l4c", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8gc", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8dw", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l5c", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8bt", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lb5", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8dm", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l8p", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc89k", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lbf", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l7d", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l6n", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lcf", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l84", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l6x", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l53", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc880", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.05nc32q", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l8y", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l7x", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8cw", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8ck", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lby", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l9f", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lcp", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc890", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8h3", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l6d", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc87s", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l9p", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9l64", "measurement_unit.dated_money_value.currency", "united states dollar")

Panama is represented by its flag and coat of arms, with the People's Party of Panama being an organizational entity within the country. The President of Panama holds office under the jurisdiction of the nation. The United States dollar serves as the currency used in Panama, with numerous dated money values associated with it across various identifiers.

The currency used in Panama is the United States dollar.


Question: where does the zambezi river originate

You are a graph analyst and you have been given a graph G among "namibia", "zambezi", "nile", "democratic republic of the congo", "the zambezi and its river basin", "lake tanganyika", "katima mulilo", "burundi", "congo river", "zambezi region", "white nile", "mwinilunga", "zambezi river", "m.04d0hhl". G has the following directed edges: "zambezi"-(geography.river.cities)->"katima mulilo", "zambezi"-(geography.river.basin_countries)->"namibia", "zambezi"-(geography.river.basin_countries)->"democratic republic of the congo", "zambezi"-(common.topic.image)->"the zambezi and its river basin", "zambezi"-(geography.river.origin)->"mwinilunga", "zambezi"-(geography.river.origin_long_lat)->"m.04d0hhl", "katima mulilo"-(common.topic.image)->"zambezi river", "namibia"-(base.aareas.schema.administrative_area.administrative_children)->"zambezi region", "congo river"-(geography.river.basin_countries)->"burundi", "congo river"-(geography.river.origin)->"lake tanganyika", "nile"-(geography.river.basin_countries)->"democratic republic of the congo", "nile"-(geography.river.basin_countries)->"burundi", "nile"-(geography.river.origin)->"white nile".

node_id,node_attr
0,namibia
12,zambezi
98,nile
119,democratic republic of the congo
124,the zambezi and its river basin
145,lake tanganyika
167,katima mulilo
202,burundi
237,congo river
382,zambezi region
430,white nile
608,mwinilunga
686,zambezi river
1760,m.04d0hhl

src,edge_attr,dst
12,geography.river.cities,167
167,common.topic.image,686
0,base.aareas.schema.administrative_area.administrative_children,382
12,geography.river.basin_countries,0
237,geography.river.basin_countries,202
12,geography.river.basin_countries,119
98,geography.river.basin_countries,119
98,geography.river.basin_countries,202
12,common.topic.image,124
237,geography.river.origin,145
98,geography.river.origin,430
12,geography.river.origin,608
12,geography.river.origin_long_lat,1760

G describes a graph among nodes "namibia", "zambezi", "nile", "democratic republic of the congo", "the zambezi and its river basin", "lake tanganyika", "katima mulilo", "burundi", "congo river", "zambezi region", "white nile", "mwinilunga", "zambezi river", "m.04d0hhl".In this graph: Node "zambezi" has outgoing edges to: "katima mulilo" with relation "geography.river.cities". Node "zambezi" has outgoing edges to: "namibia", "democratic republic of the congo" with relation "geography.river.basin_countries". Node "zambezi" has outgoing edges to: "the zambezi and its river basin" with relation "common.topic.image". Node "zambezi" has outgoing edges to: "mwinilunga" with relation "geography.river.origin". Node "zambezi" has outgoing edges to: "m.04d0hhl" with relation "geography.river.origin_long_lat". Node "katima mulilo" has outgoing edges to: "zambezi river" with relation "common.topic.image". Node "namibia" has outgoing edges to: "zambezi region" with relation "base.aareas.schema.administrative_area.administrative_children". Node "congo river" has outgoing edges to: "burundi" with relation "geography.river.basin_countries". Node "congo river" has outgoing edges to: "lake tanganyika" with relation "geography.river.origin". Node "nile" has outgoing edges to: "democratic republic of the congo", "burundi" with relation "geography.river.basin_countries". Node "nile" has outgoing edges to: "white nile" with relation "geography.river.origin".

("zambezi", "geography.river.cities", "katima mulilo"), ("zambezi", "geography.river.basin_countries", "namibia"), ("zambezi", "geography.river.basin_countries", "democratic republic of the congo"), ("zambezi", "common.topic.image", "the zambezi and its river basin"), ("zambezi", "geography.river.origin", "mwinilunga"), ("zambezi", "geography.river.origin_long_lat", "m.04d0hhl"), ("katima mulilo", "common.topic.image", "zambezi river"), ("namibia", "base.aareas.schema.administrative_area.administrative_children", "zambezi region"), ("congo river", "geography.river.basin_countries", "burundi"), ("congo river", "geography.river.origin", "lake tanganyika"), ("nile", "geography.river.basin_countries", "democratic republic of the congo"), ("nile", "geography.river.basin_countries", "burundi"), ("nile", "geography.river.origin", "white nile")

The Zambezi River originates from Mwinilunga, flowing through countries including Namibia and the Democratic Republic of the Congo, and passes through cities like Katima Mulilo, forming part of its river basin depicted in images such as "The Zambezi and its River Basin." Namibia encompasses the Zambezi Region within its administrative areas. Meanwhile, the Congo River, originating from Lake Tanganyika, also involves Burundi in its basin, while the Nile River, beginning with the White Nile, also spans across the Democratic Republic of the Congo and Burundi.

The Zambezi River originates from Mwinilunga.

The Zambezi River originates at Mwinilunga.


Question: what team did ronaldo play for in 2003

You are a graph analyst and you have been given a graph G among "ronaldo", "forward", "m.0z4_d5_", "rivaldo", "2003 fifa world player of the year". G has the following directed edges: "ronaldo"-(award.award_nominee.award_nominations)->"m.0z4_d5_", "ronaldo"-(soccer.football_player.position_s)->"forward", "2003 fifa world player of the year"-(award.award_ceremony.nominees)->"m.0z4_d5_", "rivaldo"-(soccer.football_player.position_s)->"forward".

Real Madrid C.F.
Brazil national football team

node_id,node_attr
11,ronaldo
25,forward
144,m.0z4_d5_
192,rivaldo
595,2003 fifa world player of the year

src,edge_attr,dst
11,award.award_nominee.award_nominations,144
595,award.award_ceremony.nominees,144
192,soccer.football_player.position_s,25
11,soccer.football_player.position_s,25

G describes a graph among nodes "ronaldo", "forward", "m.0z4_d5_", "rivaldo", "2003 fifa world player of the year".In this graph: Node "ronaldo" has outgoing edges to: "m.0z4_d5_" with relation "award.award_nominee.award_nominations". Node "ronaldo" has outgoing edges to: "forward" with relation "soccer.football_player.position_s". Node "2003 fifa world player of the year" has outgoing edges to: "m.0z4_d5_" with relation "award.award_ceremony.nominees". Node "rivaldo" has outgoing edges to: "forward" with relation "soccer.football_player.position_s".

("ronaldo", "award.award_nominee.award_nominations", "m.0z4_d5_"), ("ronaldo", "soccer.football_player.position_s", "forward"), ("2003 fifa world player of the year", "award.award_ceremony.nominees", "m.0z4_d5_"), ("rivaldo", "soccer.football_player.position_s", "forward")

Ronaldo, a forward, was nominated for the 2003 FIFA World Player of the Year award, alongside Rivaldo, also a forward.

In 2003, Ronaldo was nominated for the FIFA World Player of the Year award and was positioned as a forward in soccer. However, the graph does not specify which team he played for that year.

In 2003, Ronaldo, playing as a forward, was nominated for the FIFA World Player of the Year award.

In 2003, Ronaldo was nominated for the FIFA World Player of the Year award and played as a forward. However, the graph does not specify the exact team he was playing for that year.

In 2003, Ronaldo was nominated for the FIFA World Player of the Year award while playing as a forward. However, the specific team he played for that year is not provided in the graph.