Question: what was queen elizabeth ii childhood nickname

You are a graph analyst and you have been given a graph G among "george vi", "m.0b7cg_1", "elizabeth ii", "queen elizabeth the queen mother", "edward viii of the united kingdom", "united kingdom", "m.04l4rmy", "m.04l4rkw", "queen elizabeth ii", "m.04l4rqh", "british raj", "m.04l4rnf", "m.04l4rpw", "m.04l4rpp", "m.04l4rlp", "m.04l4rp1", "m.04l4rmm", "m.04l4rn3", "m.04l4rlh", "m.05yx_c0", "m.04l4rnr", "m.04l4rl5", "m.04l4rhq", "queen elizabeth", "m.04_b_2d", "m.04l4rm9", "m.04l4rq5", "m.04l4rl_", "m.04l4rpc". G has the following directed edges: "queen elizabeth the queen mother"-(symbols.name_source.namesakes)->"elizabeth ii", "queen elizabeth the queen mother"-(fictional_universe.person_in_fiction.representations_in_fiction)->"queen elizabeth", "queen elizabeth ii"-(fictional_universe.fictional_character.based_on)->"elizabeth ii", "edward viii of the united kingdom"-(royalty.monarch.kingdom)->"british raj", "edward viii of the united kingdom"-(royalty.monarch.kingdom)->"united kingdom", "elizabeth ii"-(royalty.monarch.kingdom)->"united kingdom", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rkw", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rnf", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rpp", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rlh", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rn3", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rhq", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rnr", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rm9", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rq5", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rpc", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rl_", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rl5", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rlp", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rmy", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rp1", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rpw", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rqh", "elizabeth ii"-(royalty.noble_person.titles)->"m.04l4rmm", "george vi"-(royalty.monarch.kingdom)->"british raj", "george vi"-(royalty.noble_person.titles)->"m.0b7cg_1", "george vi"-(royalty.noble_person.titles)->"m.05yx_c0", "george vi"-(royalty.noble_person.titles)->"m.04_b_2d".

node_id,node_attr
0,george vi
1,m.0b7cg_1
4,elizabeth ii
9,queen elizabeth the queen mother
35,edward viii of the united kingdom
46,united kingdom
151,m.04l4rmy
152,m.04l4rkw
203,queen elizabeth ii
257,m.04l4rqh
300,british raj
386,m.04l4rnf
618,m.04l4rpw
688,m.04l4rpp
755,m.04l4rlp
761,m.04l4rp1
908,m.04l4rmm
930,m.04l4rn3
962,m.04l4rlh
973,m.05yx_c0
1085,m.04l4rnr
1112,m.04l4rl5
1117,m.04l4rhq
1141,queen elizabeth
1236,m.04_b_2d
1241,m.04l4rm9
1249,m.04l4rq5
1273,m.04l4rl_
1282,m.04l4rpc

src,edge_attr,dst
9,symbols.name_source.namesakes,4
9,fictional_universe.person_in_fiction.representations_in_fiction,1141
203,fictional_universe.fictional_character.based_on,4
35,royalty.monarch.kingdom,300
35,royalty.monarch.kingdom,46
4,royalty.monarch.kingdom,46
0,royalty.monarch.kingdom,300
0,royalty.noble_person.titles,1
4,royalty.noble_person.titles,152
4,royalty.noble_person.titles,386
4,royalty.noble_person.titles,688
4,royalty.noble_person.titles,962
0,royalty.noble_person.titles,973
4,royalty.noble_person.titles,930
4,royalty.noble_person.titles,1117
4,royalty.noble_person.titles,1085
4,royalty.noble_person.titles,1241
4,royalty.noble_person.titles,1249
0,royalty.noble_person.titles,1236
4,royalty.noble_person.titles,1282
4,royalty.noble_person.titles,1273
4,royalty.noble_person.titles,1112
4,royalty.noble_person.titles,755
4,royalty.noble_person.titles,151
4,royalty.noble_person.titles,761
4,royalty.noble_person.titles,618
4,royalty.noble_person.titles,257
4,royalty.noble_person.titles,908

G describes a graph among nodes "george vi", "m.0b7cg_1", "elizabeth ii", "queen elizabeth the queen mother", "edward viii of the united kingdom", "united kingdom", "m.04l4rmy", "m.04l4rkw", "queen elizabeth ii", "m.04l4rqh", "british raj", "m.04l4rnf", "m.04l4rpw", "m.04l4rpp", "m.04l4rlp", "m.04l4rp1", "m.04l4rmm", "m.04l4rn3", "m.04l4rlh", "m.05yx_c0", "m.04l4rnr", "m.04l4rl5", "m.04l4rhq", "queen elizabeth", "m.04_b_2d", "m.04l4rm9", "m.04l4rq5", "m.04l4rl_", "m.04l4rpc".In this graph: Node "queen elizabeth the queen mother" has outgoing edges to: "elizabeth ii" with relation "symbols.name_source.namesakes". Node "queen elizabeth the queen mother" has outgoing edges to: "queen elizabeth" with relation "fictional_universe.person_in_fiction.representations_in_fiction". Node "queen elizabeth ii" has outgoing edges to: "elizabeth ii" with relation "fictional_universe.fictional_character.based_on". Node "edward viii of the united kingdom" has outgoing edges to: "british raj", "united kingdom" with relation "royalty.monarch.kingdom". Node "elizabeth ii" has outgoing edges to: "united kingdom" with relation "royalty.monarch.kingdom". Node "elizabeth ii" has outgoing edges to: "m.04l4rkw", "m.04l4rnf", "m.04l4rpp", "m.04l4rlh", "m.04l4rn3", "m.04l4rhq", "m.04l4rnr", "m.04l4rm9", "m.04l4rq5", "m.04l4rpc", "m.04l4rl_", "m.04l4rl5", "m.04l4rlp", "m.04l4rmy", "m.04l4rp1", "m.04l4rpw", "m.04l4rqh", "m.04l4rmm" with relation "royalty.noble_person.titles". Node "george vi" has outgoing edges to: "british raj" with relation "royalty.monarch.kingdom". Node "george vi" has outgoing edges to: "m.0b7cg_1", "m.05yx_c0", "m.04_b_2d" with relation "royalty.noble_person.titles".

("queen elizabeth the queen mother", "symbols.name_source.namesakes", "elizabeth ii"), ("queen elizabeth the queen mother", "fictional_universe.person_in_fiction.representations_in_fiction", "queen elizabeth"), ("queen elizabeth ii", "fictional_universe.fictional_character.based_on", "elizabeth ii"), ("edward viii of the united kingdom", "royalty.monarch.kingdom", "british raj"), ("edward viii of the united kingdom", "royalty.monarch.kingdom", "united kingdom"), ("elizabeth ii", "royalty.monarch.kingdom", "united kingdom"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rkw"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rnf"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rpp"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rlh"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rn3"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rhq"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rnr"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rm9"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rq5"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rpc"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rl_"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rl5"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rlp"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rmy"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rp1"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rpw"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rqh"), ("elizabeth ii", "royalty.noble_person.titles", "m.04l4rmm"), ("george vi", "royalty.monarch.kingdom", "british raj"), ("george vi", "royalty.noble_person.titles", "m.0b7cg_1"), ("george vi", "royalty.noble_person.titles", "m.05yx_c0"), ("george vi", "royalty.noble_person.titles", "m.04_b_2d")

Queen Elizabeth the Queen Mother is a namesake for Elizabeth II and has been represented in fiction as Queen Elizabeth. Elizabeth II, a monarch of the United Kingdom, holds numerous titles including m.04l4rkw, m.04l4rnf, m.04l4rpp, m.04l4rlh, m.04l4rn3, m.04l4rhq, m.04l4rnr, m.04l4rm9, m.04l4rq5, m.04l4rpc, m.04l4rl_, m.04l4rl5, m.04l4rlp, m.04l4rmy, m.04l4rp1, m.04l4rpw, m.04l4rqh, and m.04l4rmm.  Edward VIII of the United Kingdom reigned over both the British Raj and the United Kingdom, while George VI, like Edward VIII, ruled the British Raj and held titles m.0b7cg_1, m.05yx_c0, and m.04_b_2d.

The provided graph does not contain any information regarding Queen Elizabeth II's childhood nickname.

The provided graph does not contain specific information regarding Queen Elizabeth II's childhood nickname.

The provided graph does not contain information about Queen Elizabeth II's childhood nickname.

The provided graph does not contain specific information about Queen Elizabeth II's childhood nickname.


Question: where did tim tebow grow up

You are a graph analyst and you have been given a graph G among "makati", "tim tebow", "robert ramsey tebow ii", "peter tebow", "alex compton". G has the following directed edges: "robert ramsey tebow ii"-(people.person.children)->"peter tebow", "robert ramsey tebow ii"-(people.person.children)->"tim tebow", "tim tebow"-(people.person.place_of_birth)->"makati", "alex compton"-(people.person.place_of_birth)->"makati".

node_id,node_attr
3,makati
6,tim tebow
100,robert ramsey tebow ii
198,peter tebow
431,alex compton

src,edge_attr,dst
100,people.person.children,198
100,people.person.children,6
6,people.person.place_of_birth,3
431,people.person.place_of_birth,3

G describes a graph among nodes "makati", "tim tebow", "robert ramsey tebow ii", "peter tebow", "alex compton".In this graph: Node "robert ramsey tebow ii" has outgoing edges to: "peter tebow", "tim tebow" with relation "people.person.children". Node "tim tebow" has outgoing edges to: "makati" with relation "people.person.place_of_birth". Node "alex compton" has outgoing edges to: "makati" with relation "people.person.place_of_birth".

("robert ramsey tebow ii", "people.person.children", "peter tebow"), ("robert ramsey tebow ii", "people.person.children", "tim tebow"), ("tim tebow", "people.person.place_of_birth", "makati"), ("alex compton", "people.person.place_of_birth", "makati")

Robert Ramsey Tebow II has children named Peter Tebow and Tim Tebow, with Tim Tebow being born in Makati, as is also the birthplace of Alex Compton.

Tim Tebow was born in Makati.
Tim Tebow was born in Makati.
Tim Tebow was born in Makati.
Tim Tebow was born in Makati.
Tim Tebow was born in Makati.


Question: where is chesapeake bay bridge

You are a graph analyst and you have been given a graph G among "chesapeake bay", "chesapeake bay bridge", "chesapeake bay bridge–tunnel", "chesapeake bay bridge viewed from sandy point state park". G has the following directed edges: "chesapeake bay bridge"-(common.topic.image)->"chesapeake bay bridge viewed from sandy point state park", "chesapeake bay"-(geography.body_of_water.bridges)->"chesapeake bay bridge–tunnel", "chesapeake bay"-(geography.body_of_water.bridges)->"chesapeake bay bridge".

node_id,node_attr
2,chesapeake bay
22,chesapeake bay bridge
203,chesapeake bay bridge–tunnel
530,chesapeake bay bridge viewed from sandy point state park

src,edge_attr,dst
22,common.topic.image,530
2,geography.body_of_water.bridges,203
2,geography.body_of_water.bridges,22

G describes a graph among nodes "chesapeake bay", "chesapeake bay bridge", "chesapeake bay bridge–tunnel", "chesapeake bay bridge viewed from sandy point state park".In this graph: Node "chesapeake bay bridge" has outgoing edges to: "chesapeake bay bridge viewed from sandy point state park" with relation "common.topic.image". Node "chesapeake bay" has outgoing edges to: "chesapeake bay bridge–tunnel", "chesapeake bay bridge" with relation "geography.body_of_water.bridges".

("chesapeake bay bridge", "common.topic.image", "chesapeake bay bridge viewed from sandy point state park"), ("chesapeake bay", "geography.body_of_water.bridges", "chesapeake bay bridge–tunnel"), ("chesapeake bay", "geography.body_of_water.bridges", "chesapeake bay bridge")

The Chesapeake Bay Bridge spans the Chesapeake Bay, connecting areas across this significant body of water, while also being part of notable bridge systems like the Chesapeake Bay Bridge–Tunnel. Views of the Chesapeake Bay Bridge can be admired from locations such as Sandy Point State Park.

The Chesapeake Bay Bridge spans the Chesapeake Bay and can be viewed from Sandy Point State Park.

The Chesapeake Bay Bridge spans the Chesapeake Bay, connecting points on either side of the bay, and can be viewed from Sandy Point State Park.

The Chesapeake Bay Bridge spans the Chesapeake Bay, connecting points on its northern and southern shores, and can be viewed from locations such as Sandy Point State Park.

The Chesapeake Bay Bridge spans the Chesapeake Bay and is located where it connects Maryland and Virginia, with a view accessible from Sandy Point State Park in Maryland.


Question: who played victoria barkley

You are a graph analyst and you have been given a graph G among "douglas kennedy", "m.0l59lpm", "the big valley", "m.09cyx18", "lee majors", "m.04d576g", "richard long", "m.09cyx1q", "m.04d576m", "linda evans", "barbara stanwyck", "m.04d576s", "heath barkley", "napoleon whiting", "victoria barkley", "m.0l59lnn", "charles briles", "peter breck", "m.0l59lpv", "audra barkley". G has the following directed edges: "audra barkley"-(tv.tv_character.appeared_in_tv_program)->"m.04d576m", "victoria barkley"-(tv.tv_character.appeared_in_tv_program)->"m.04d576g", "heath barkley"-(tv.tv_character.appeared_in_tv_program)->"m.04d576s", "the big valley"-(tv.tv_program.regular_cast)->"m.04d576g", "the big valley"-(tv.tv_program.regular_cast)->"m.04d576m", "the big valley"-(tv.tv_program.regular_cast)->"m.0l59lpv", "the big valley"-(tv.tv_program.regular_cast)->"m.09cyx1q", "the big valley"-(tv.tv_program.regular_cast)->"m.0l59lnn", "the big valley"-(tv.tv_program.regular_cast)->"m.04d576s", "the big valley"-(tv.tv_program.regular_cast)->"m.09cyx18", "the big valley"-(tv.tv_program.regular_cast)->"m.0l59lpm", "douglas kennedy"-(tv.tv_actor.starring_roles)->"m.0l59lpm", "peter breck"-(tv.tv_actor.starring_roles)->"m.09cyx18", "lee majors"-(tv.tv_actor.starring_roles)->"m.04d576s", "charles briles"-(tv.tv_actor.starring_roles)->"m.0l59lnn", "richard long"-(tv.tv_actor.starring_roles)->"m.09cyx1q", "napoleon whiting"-(tv.tv_actor.starring_roles)->"m.0l59lpv", "linda evans"-(tv.tv_actor.starring_roles)->"m.04d576m", "barbara stanwyck"-(tv.tv_actor.starring_roles)->"m.04d576g".

node_id,node_attr
17,douglas kennedy
18,m.0l59lpm
32,the big valley
33,m.09cyx18
86,lee majors
108,m.04d576g
124,richard long
180,m.09cyx1q
272,m.04d576m
273,linda evans
287,barbara stanwyck
333,m.04d576s
334,heath barkley
424,napoleon whiting
480,victoria barkley
483,m.0l59lnn
484,charles briles
585,peter breck
671,m.0l59lpv
857,audra barkley

src,edge_attr,dst
857,tv.tv_character.appeared_in_tv_program,272
480,tv.tv_character.appeared_in_tv_program,108
334,tv.tv_character.appeared_in_tv_program,333
32,tv.tv_program.regular_cast,108
32,tv.tv_program.regular_cast,272
32,tv.tv_program.regular_cast,671
32,tv.tv_program.regular_cast,180
32,tv.tv_program.regular_cast,483
32,tv.tv_program.regular_cast,333
32,tv.tv_program.regular_cast,33
32,tv.tv_program.regular_cast,18
17,tv.tv_actor.starring_roles,18
585,tv.tv_actor.starring_roles,33
86,tv.tv_actor.starring_roles,333
484,tv.tv_actor.starring_roles,483
124,tv.tv_actor.starring_roles,180
424,tv.tv_actor.starring_roles,671
273,tv.tv_actor.starring_roles,272
287,tv.tv_actor.starring_roles,108

G describes a graph among nodes "douglas kennedy", "m.0l59lpm", "the big valley", "m.09cyx18", "lee majors", "m.04d576g", "richard long", "m.09cyx1q", "m.04d576m", "linda evans", "barbara stanwyck", "m.04d576s", "heath barkley", "napoleon whiting", "victoria barkley", "m.0l59lnn", "charles briles", "peter breck", "m.0l59lpv", "audra barkley".In this graph: Node "audra barkley" has outgoing edges to: "m.04d576m" with relation "tv.tv_character.appeared_in_tv_program". Node "victoria barkley" has outgoing edges to: "m.04d576g" with relation "tv.tv_character.appeared_in_tv_program". Node "heath barkley" has outgoing edges to: "m.04d576s" with relation "tv.tv_character.appeared_in_tv_program". Node "the big valley" has outgoing edges to: "m.04d576g", "m.04d576m", "m.0l59lpv", "m.09cyx1q", "m.0l59lnn", "m.04d576s", "m.09cyx18", "m.0l59lpm" with relation "tv.tv_program.regular_cast". Node "douglas kennedy" has outgoing edges to: "m.0l59lpm" with relation "tv.tv_actor.starring_roles". Node "peter breck" has outgoing edges to: "m.09cyx18" with relation "tv.tv_actor.starring_roles". Node "lee majors" has outgoing edges to: "m.04d576s" with relation "tv.tv_actor.starring_roles". Node "charles briles" has outgoing edges to: "m.0l59lnn" with relation "tv.tv_actor.starring_roles". Node "richard long" has outgoing edges to: "m.09cyx1q" with relation "tv.tv_actor.starring_roles". Node "napoleon whiting" has outgoing edges to: "m.0l59lpv" with relation "tv.tv_actor.starring_roles". Node "linda evans" has outgoing edges to: "m.04d576m" with relation "tv.tv_actor.starring_roles". Node "barbara stanwyck" has outgoing edges to: "m.04d576g" with relation "tv.tv_actor.starring_roles".

("audra barkley", "tv.tv_character.appeared_in_tv_program", "m.04d576m"), ("victoria barkley", "tv.tv_character.appeared_in_tv_program", "m.04d576g"), ("heath barkley", "tv.tv_character.appeared_in_tv_program", "m.04d576s"), ("the big valley", "tv.tv_program.regular_cast", "m.04d576g"), ("the big valley", "tv.tv_program.regular_cast", "m.04d576m"), ("the big valley", "tv.tv_program.regular_cast", "m.0l59lpv"), ("the big valley", "tv.tv_program.regular_cast", "m.09cyx1q"), ("the big valley", "tv.tv_program.regular_cast", "m.0l59lnn"), ("the big valley", "tv.tv_program.regular_cast", "m.04d576s"), ("the big valley", "tv.tv_program.regular_cast", "m.09cyx18"), ("the big valley", "tv.tv_program.regular_cast", "m.0l59lpm"), ("douglas kennedy", "tv.tv_actor.starring_roles", "m.0l59lpm"), ("peter breck", "tv.tv_actor.starring_roles", "m.09cyx18"), ("lee majors", "tv.tv_actor.starring_roles", "m.04d576s"), ("charles briles", "tv.tv_actor.starring_roles", "m.0l59lnn"), ("richard long", "tv.tv_actor.starring_roles", "m.09cyx1q"), ("napoleon whiting", "tv.tv_actor.starring_roles", "m.0l59lpv"), ("linda evans", "tv.tv_actor.starring_roles", "m.04d576m"), ("barbara stanwyck", "tv.tv_actor.starring_roles", "m.04d576g")

Audra Barkley, Victoria Barkley, and Heath Barkley appeared in the TV program "The Big Valley," which featured a regular cast including Douglas Kennedy, Peter Breck, Lee Majors, Charles Briles, Richard Long, Napoleon Whiting, Linda Evans, and Barbara Stanwyck.

Barbara Stanwyck played the character Victoria Barkley in "The Big Valley."

Barbara Stanwyck played the character Victoria Barkley in the TV program "The Big Valley".

Barbara Stanwyck played the character Victoria Barkley in the TV program "The Big Valley."

Barbara Stanwyck played Victoria Barkley in the TV program "The Big Valley."

Victoria Barkley, a character appearing in the TV program "The Big Valley," was played by Barbara Stanwyck.


Question: where did kennedy 's inaugural address take place

You are a graph analyst and you have been given a graph G among "john f. kennedy", "john f. kennedy 1961 presidential inauguration", "inaugural address of john f. kennedy", "jfk inauguration". G has the following directed edges: "john f. kennedy 1961 presidential inauguration"-(common.topic.image)->"jfk inauguration", "john f. kennedy 1961 presidential inauguration"-(base.inaugurations.inauguration.inaugural_address)->"inaugural address of john f. kennedy", "john f. kennedy 1961 presidential inauguration"-(base.inaugurations.inauguration.president)->"john f. kennedy", "john f. kennedy"-(base.inaugurations.inauguration_speaker.inauguration)->"john f. kennedy 1961 presidential inauguration".

node_id,node_attr
24,john f. kennedy
428,john f. kennedy 1961 presidential inauguration
429,inaugural address of john f. kennedy
1701,jfk inauguration

src,edge_attr,dst
428,common.topic.image,1701
428,base.inaugurations.inauguration.inaugural_address,429
24,base.inaugurations.inauguration_speaker.inauguration,428
428,base.inaugurations.inauguration.president,24

G describes a graph among nodes "john f. kennedy", "john f. kennedy 1961 presidential inauguration", "inaugural address of john f. kennedy", "jfk inauguration".In this graph: Node "john f. kennedy 1961 presidential inauguration" has outgoing edges to: "jfk inauguration" with relation "common.topic.image". Node "john f. kennedy 1961 presidential inauguration" has outgoing edges to: "inaugural address of john f. kennedy" with relation "base.inaugurations.inauguration.inaugural_address". Node "john f. kennedy 1961 presidential inauguration" has outgoing edges to: "john f. kennedy" with relation "base.inaugurations.inauguration.president". Node "john f. kennedy" has outgoing edges to: "john f. kennedy 1961 presidential inauguration" with relation "base.inaugurations.inauguration_speaker.inauguration".

("john f. kennedy 1961 presidential inauguration", "common.topic.image", "jfk inauguration"), ("john f. kennedy 1961 presidential inauguration", "base.inaugurations.inauguration.inaugural_address", "inaugural address of john f. kennedy"), ("john f. kennedy 1961 presidential inauguration", "base.inaugurations.inauguration.president", "john f. kennedy"), ("john f. kennedy", "base.inaugurations.inauguration_speaker.inauguration", "john f. kennedy 1961 presidential inauguration")

John F. Kennedy delivered his inaugural address during the 1961 presidential inauguration, marking his ascension as president. This event was captured in an image, central to discussions of his inaugural ceremony.

Kennedy's inaugural address took place during the John F. Kennedy 1961 presidential inauguration.

Kennedy's inaugural address took place during the 1961 presidential inauguration ceremony.

Kennedy's inaugural address took place during the 1961 presidential inauguration in Washington, D.C., where John F. Kennedy delivered his inaugural speech as the president.

Kennedy's inaugural address took place during the 1961 presidential inauguration.


Question: what countries have german as the official language

You are a graph analyst and you have been given a graph G among "uruguay", "italy", "italian language", "german language", "germany", "france", "east germany", "english language", "liechtenstein", "switzerland", "austria", "south africa", "bolivia", "west germanic languages", "chile", "belgium", "paraguay", "spanish language", "luxembourg", "french", "argentina", "namibia", "philippines", "venezuela", "canada", "europe germanic languages", "ecuador", "puerto rico", "germanic languages". G has the following directed edges: "english language"-(language.human_language.language_family)->"west germanic languages", "west germanic languages"-(common.topic.image)->"europe germanic languages", "german language"-(language.human_language.language_family)->"germanic languages", "paraguay"-(location.country.official_language)->"spanish language", "canada"-(location.country.official_language)->"english language", "canada"-(location.country.official_language)->"french", "namibia"-(location.country.official_language)->"english language", "puerto rico"-(location.country.official_language)->"english language", "puerto rico"-(location.country.official_language)->"spanish language", "philippines"-(location.country.official_language)->"english language", "italy"-(location.country.official_language)->"italian language", "austria"-(location.country.official_language)->"german language", "south africa"-(location.country.official_language)->"english language", "france"-(location.country.official_language)->"french", "luxembourg"-(location.country.official_language)->"french", "luxembourg"-(location.country.official_language)->"german language", "belgium"-(location.country.official_language)->"german language", "belgium"-(location.country.official_language)->"french", "argentina"-(location.country.official_language)->"spanish language", "switzerland"-(location.country.official_language)->"french", "switzerland"-(location.country.official_language)->"german language", "switzerland"-(location.country.official_language)->"italian language", "ecuador"-(location.country.official_language)->"spanish language", "uruguay"-(location.country.official_language)->"spanish language", "germany"-(location.country.official_language)->"german language", "east germany"-(location.country.official_language)->"german language", "venezuela"-(location.country.official_language)->"spanish language", "bolivia"-(location.country.official_language)->"spanish language", "liechtenstein"-(location.country.official_language)->"german language", "chile"-(location.country.official_language)->"spanish language".

Belgium
Germany
Switzerland
East Germany
Austria
Luxembourg
Liechtenstein

node_id,node_attr
4,uruguay
7,italy
8,italian language
16,german language
25,germany
29,france
30,east germany
49,english language
50,liechtenstein
59,switzerland
67,austria
74,south africa
81,bolivia
104,west germanic languages
119,chile
130,belgium
134,paraguay
135,spanish language
141,luxembourg
149,french
168,argentina
177,namibia
188,philippines
194,venezuela
227,canada
284,europe germanic languages
313,ecuador
377,puerto rico
520,germanic languages

src,edge_attr,dst
49,language.human_language.language_family,104
104,common.topic.image,284
16,language.human_language.language_family,520
134,location.country.official_language,135
227,location.country.official_language,49
177,location.country.official_language,49
377,location.country.official_language,49
377,location.country.official_language,135
227,location.country.official_language,149
188,location.country.official_language,49
7,location.country.official_language,8
67,location.country.official_language,16
74,location.country.official_language,49
29,location.country.official_language,149
141,location.country.official_language,149
130,location.country.official_language,16
168,location.country.official_language,135
141,location.country.official_language,16
59,location.country.official_language,149
313,location.country.official_language,135
4,location.country.official_language,135
25,location.country.official_language,16
130,location.country.official_language,149
30,location.country.official_language,16
194,location.country.official_language,135
81,location.country.official_language,135
59,location.country.official_language,16
50,location.country.official_language,16
59,location.country.official_language,8
119,location.country.official_language,135

G describes a graph among nodes "uruguay", "italy", "italian language", "german language", "germany", "france", "east germany", "english language", "liechtenstein", "switzerland", "austria", "south africa", "bolivia", "west germanic languages", "chile", "belgium", "paraguay", "spanish language", "luxembourg", "french", "argentina", "namibia", "philippines", "venezuela", "canada", "europe germanic languages", "ecuador", "puerto rico", "germanic languages".In this graph: Node "english language" has outgoing edges to: "west germanic languages" with relation "language.human_language.language_family". Node "west germanic languages" has outgoing edges to: "europe germanic languages" with relation "common.topic.image". Node "german language" has outgoing edges to: "germanic languages" with relation "language.human_language.language_family". Node "paraguay" has outgoing edges to: "spanish language" with relation "location.country.official_language". Node "canada" has outgoing edges to: "english language", "french" with relation "location.country.official_language". Node "namibia" has outgoing edges to: "english language" with relation "location.country.official_language". Node "puerto rico" has outgoing edges to: "english language", "spanish language" with relation "location.country.official_language". Node "philippines" has outgoing edges to: "english language" with relation "location.country.official_language". Node "italy" has outgoing edges to: "italian language" with relation "location.country.official_language". Node "austria" has outgoing edges to: "german language" with relation "location.country.official_language". Node "south africa" has outgoing edges to: "english language" with relation "location.country.official_language". Node "france" has outgoing edges to: "french" with relation "location.country.official_language". Node "luxembourg" has outgoing edges to: "french", "german language" with relation "location.country.official_language". Node "belgium" has outgoing edges to: "german language", "french" with relation "location.country.official_language". Node "argentina" has outgoing edges to: "spanish language" with relation "location.country.official_language". Node "switzerland" has outgoing edges to: "french", "german language", "italian language" with relation "location.country.official_language". Node "ecuador" has outgoing edges to: "spanish language" with relation "location.country.official_language". Node "uruguay" has outgoing edges to: "spanish language" with relation "location.country.official_language". Node "germany" has outgoing edges to: "german language" with relation "location.country.official_language". Node "east germany" has outgoing edges to: "german language" with relation "location.country.official_language". Node "venezuela" has outgoing edges to: "spanish language" with relation "location.country.official_language". Node "bolivia" has outgoing edges to: "spanish language" with relation "location.country.official_language". Node "liechtenstein" has outgoing edges to: "german language" with relation "location.country.official_language". Node "chile" has outgoing edges to: "spanish language" with relation "location.country.official_language".

("english language", "language.human_language.language_family", "west germanic languages"), ("west germanic languages", "common.topic.image", "europe germanic languages"), ("german language", "language.human_language.language_family", "germanic languages"), ("paraguay", "location.country.official_language", "spanish language"), ("canada", "location.country.official_language", "english language"), ("canada", "location.country.official_language", "french"), ("namibia", "location.country.official_language", "english language"), ("puerto rico", "location.country.official_language", "english language"), ("puerto rico", "location.country.official_language", "spanish language"), ("philippines", "location.country.official_language", "english language"), ("italy", "location.country.official_language", "italian language"), ("austria", "location.country.official_language", "german language"), ("south africa", "location.country.official_language", "english language"), ("france", "location.country.official_language", "french"), ("luxembourg", "location.country.official_language", "french"), ("luxembourg", "location.country.official_language", "german language"), ("belgium", "location.country.official_language", "german language"), ("belgium", "location.country.official_language", "french"), ("argentina", "location.country.official_language", "spanish language"), ("switzerland", "location.country.official_language", "french"), ("switzerland", "location.country.official_language", "german language"), ("switzerland", "location.country.official_language", "italian language"), ("ecuador", "location.country.official_language", "spanish language"), ("uruguay", "location.country.official_language", "spanish language"), ("germany", "location.country.official_language", "german language"), ("east germany", "location.country.official_language", "german language"), ("venezuela", "location.country.official_language", "spanish language"), ("bolivia", "location.country.official_language", "spanish language"), ("liechtenstein", "location.country.official_language", "german language"), ("chile", "location.country.official_language", "spanish language")

The English language belongs to the West Germanic languages, which are part of the broader Germanic language family alongside the German language. German is also an official language in Austria, Liechtenstein, and parts of Switzerland, while the German language family is often associated with the common topic of European Germanic languages. English serves as an official language in Canada, Namibia, Puerto Rico, and the Philippines, alongside French in Canada and Luxembourg. French is official in France, Luxembourg, and Belgium, where it coexists with German. Spanish is official in Argentina, Puerto Rico, Ecuador, Uruguay, Venezuela, Bolivia, and Chile. Italian is official in Italy, and Switzerland uniquely recognizes French, German, and Italian as official languages. German was also the official language of East Germany, now unified with West Germany where German remains the sole official language.

German is an official language in Austria, Belgium, Germany, Luxembourg, Liechtenstein, and Switzerland.

German is an official language in Austria, Belgium, Germany, Luxembourg, Switzerland, and Liechtenstein according to the provided data.

German is an official language in Austria, Belgium, Germany, Luxembourg, Liechtenstein, Switzerland, and parts of Belgium and Switzerland also recognize it alongside French and Italian as official languages.


Question: where did the taliban began

You are a graph analyst and you have been given a graph G among "taliban", "afghanistan", "sunni islam", "islam", "mohammed omar", ""afghanistan's endless war: state failure, regional politics and the rise of the taliban"", "taliban insurgency", "kabul", "hamid gul", "baitullah mehsud", "abdul ghani baradar", ""afghanistan's endless war : state failure, regional politics, and the rise of the taliban"". G has the following directed edges: "taliban"-(book.book_subject.works)->""afghanistan's endless war: state failure, regional politics and the rise of the taliban"", "taliban"-(organization.organization.founders)->"mohammed omar", "taliban"-(organization.organization.founders)->"abdul ghani baradar", "taliban"-(organization.organization.founders)->"baitullah mehsud", "taliban"-(organization.organization.founders)->"hamid gul", ""afghanistan's endless war: state failure, regional politics and the rise of the taliban""-(book.book.editions)->""afghanistan's endless war : state failure, regional politics, and the rise of the taliban"", "mohammed omar"-(people.person.religion)->"sunni islam", "mohammed omar"-(people.person.nationality)->"afghanistan", "taliban insurgency"-(base.culturalevent.event.entity_involved)->"taliban", "sunni islam"-(religion.religion.branched_from)->"islam", "afghanistan"-(location.country.capital)->"kabul".

node_id,node_attr
4,taliban
13,afghanistan
49,sunni islam
50,islam
70,mohammed omar
81,"afghanistan's endless war: state failure, regional politics and the rise of the taliban"
88,taliban insurgency
94,kabul
113,hamid gul
120,baitullah mehsud
179,abdul ghani baradar
242,"afghanistan's endless war : state failure, regional politics, and the rise of the taliban"

src,edge_attr,dst
4,book.book_subject.works,81
81,book.book.editions,242
70,people.person.religion,49
88,base.culturalevent.event.entity_involved,4
70,people.person.nationality,13
49,religion.religion.branched_from,50
4,organization.organization.founders,70
4,organization.organization.founders,179
4,organization.organization.founders,120
13,location.country.capital,94
4,organization.organization.founders,113

G describes a graph among nodes "taliban", "afghanistan", "sunni islam", "islam", "mohammed omar", ""afghanistan's endless war: state failure, regional politics and the rise of the taliban"", "taliban insurgency", "kabul", "hamid gul", "baitullah mehsud", "abdul ghani baradar", ""afghanistan's endless war : state failure, regional politics, and the rise of the taliban"".In this graph: Node "taliban" has outgoing edges to: ""afghanistan's endless war: state failure, regional politics and the rise of the taliban"" with relation "book.book_subject.works". Node "taliban" has outgoing edges to: "mohammed omar", "abdul ghani baradar", "baitullah mehsud", "hamid gul" with relation "organization.organization.founders". Node ""afghanistan's endless war: state failure, regional politics and the rise of the taliban"" has outgoing edges to: ""afghanistan's endless war : state failure, regional politics, and the rise of the taliban"" with relation "book.book.editions". Node "mohammed omar" has outgoing edges to: "sunni islam" with relation "people.person.religion". Node "mohammed omar" has outgoing edges to: "afghanistan" with relation "people.person.nationality". Node "taliban insurgency" has outgoing edges to: "taliban" with relation "base.culturalevent.event.entity_involved". Node "sunni islam" has outgoing edges to: "islam" with relation "religion.religion.branched_from". Node "afghanistan" has outgoing edges to: "kabul" with relation "location.country.capital".

("taliban", "book.book_subject.works", ""afghanistan's endless war: state failure, regional politics and the rise of the taliban""), ("taliban", "organization.organization.founders", "mohammed omar"), ("taliban", "organization.organization.founders", "abdul ghani baradar"), ("taliban", "organization.organization.founders", "baitullah mehsud"), ("taliban", "organization.organization.founders", "hamid gul"), (""afghanistan's endless war: state failure, regional politics and the rise of the taliban"", "book.book.editions", ""afghanistan's endless war : state failure, regional politics, and the rise of the taliban""), ("mohammed omar", "people.person.religion", "sunni islam"), ("mohammed omar", "people.person.nationality", "afghanistan"), ("taliban insurgency", "base.culturalevent.event.entity_involved", "taliban"), ("sunni islam", "religion.religion.branched_from", "islam"), ("afghanistan", "location.country.capital", "kabul")

The Taliban, founded by Mohammed Omar, Abdul Ghani Baradar, Baitullah Mehsud, and Hamid Gul, is a Sunni Islamic organization originating from Afghanistan, where Kabul serves as the capital. The group's activities are central to "Afghanistan's Endless War: State Failure, Regional Politics, and the Rise of the Taliban," a book that explores their impact alongside broader regional dynamics. Mohammed Omar, a key figure in the Taliban's establishment, adhered to Sunni Islam, a branch of Islam. The Taliban insurgency remains deeply rooted in these cultural and religious contexts.

The Taliban originated in Afghanistan, with key founders including Mohammed Omar, Abdul Ghani Baradar, Baitullah Mehsud, and Hamid Gul, all associated with Sunni Islam. Mohammed Omar, one of the primary leaders from Afghanistan, played a significant role in the group's formation and leadership.

The Taliban originated in Afghanistan, founded notably by Mohammed Omar, Abdul Ghani Baradar, Baitullah Mehsud, and Hamid Gul, with Mohammed Omar being of Afghan nationality and practicing Sunni Islam. The group's rise is contextualized within Afghanistan's broader political struggles.

The Taliban originated in Afghanistan, founded notably by Mohammed Omar, Abdul Ghani Baradar, Baitullah Mehsud, and Hamid Gul, with Mohammed Omar identified as an Afghan national adhering to Sunni Islam.

The Taliban originated in Afghanistan, founded notably by Mohammed Omar, who was Afghan and a follower of Sunni Islam. The group's emergence is detailed in literature such as "Afghanistan's Endless War: State Failure, Regional Politics and the Rise of the Taliban," which provides context on their rise within the country.

The Taliban originated in Afghanistan, with key figures in its founding including Mohammed Omar, Abdul Ghani Baradar, Baitullah Mehsud, and Hamid Gul. Mohammed Omar, an Afghan national adhering to Sunni Islam, was notably among the leaders. The group's rise is contextualized within Afghanistan's internal conflicts and political landscape.


Question: who plays elena gilbert on vampire diaries

You are a graph analyst and you have been given a graph G among "elena-gilbert-photo.jpg", "the vampire diaries", "m.0790rw5", "elena gilbert", "the vampire diaries - season 3", "nina dobrev", "the vampire diaries - season 2", "m.012g2blc", "elena-gilbert-elena-gilbert-8212104-800-533.jpg", "the vampire diaries - season 1", "the vampire diaries - season 4", "the vampire diaries - season 5". G has the following directed edges: "elena gilbert"-(tv.tv_character.appeared_in_tv_program)->"m.0790rw5", "elena gilbert"-(common.topic.image)->"elena-gilbert-photo.jpg", "elena gilbert"-(cvg.game_character.games)->"m.012g2blc", "elena-gilbert-elena-gilbert-8212104-800-533.jpg"-(common.image.appears_in_topic_gallery)->"elena gilbert", "the vampire diaries - season 3"-(tv.tv_series_season.regular_cast)->"m.0790rw5", "the vampire diaries - season 2"-(tv.tv_series_season.regular_cast)->"m.0790rw5", "the vampire diaries - season 5"-(tv.tv_series_season.regular_cast)->"m.0790rw5", "the vampire diaries"-(tv.tv_program.regular_cast)->"m.0790rw5", "nina dobrev"-(tv.tv_actor.starring_roles)->"m.0790rw5", "the vampire diaries - season 4"-(tv.tv_series_season.regular_cast)->"m.0790rw5", "the vampire diaries - season 1"-(tv.tv_series_season.regular_cast)->"m.0790rw5".

node_id,node_attr
31,elena-gilbert-photo.jpg
42,the vampire diaries
64,m.0790rw5
65,elena gilbert
108,the vampire diaries - season 3
149,nina dobrev
237,the vampire diaries - season 2
389,m.012g2blc
562,elena-gilbert-elena-gilbert-8212104-800-533.jpg
646,the vampire diaries - season 1
673,the vampire diaries - season 4
848,the vampire diaries - season 5

src,edge_attr,dst
65,tv.tv_character.appeared_in_tv_program,64
562,common.image.appears_in_topic_gallery,65
65,common.topic.image,31
108,tv.tv_series_season.regular_cast,64
65,cvg.game_character.games,389
237,tv.tv_series_season.regular_cast,64
848,tv.tv_series_season.regular_cast,64
42,tv.tv_program.regular_cast,64
149,tv.tv_actor.starring_roles,64
673,tv.tv_series_season.regular_cast,64
646,tv.tv_series_season.regular_cast,64

G describes a graph among nodes "elena-gilbert-photo.jpg", "the vampire diaries", "m.0790rw5", "elena gilbert", "the vampire diaries - season 3", "nina dobrev", "the vampire diaries - season 2", "m.012g2blc", "elena-gilbert-elena-gilbert-8212104-800-533.jpg", "the vampire diaries - season 1", "the vampire diaries - season 4", "the vampire diaries - season 5".In this graph: Node "elena gilbert" has outgoing edges to: "m.0790rw5" with relation "tv.tv_character.appeared_in_tv_program". Node "elena gilbert" has outgoing edges to: "elena-gilbert-photo.jpg" with relation "common.topic.image". Node "elena gilbert" has outgoing edges to: "m.012g2blc" with relation "cvg.game_character.games". Node "elena-gilbert-elena-gilbert-8212104-800-533.jpg" has outgoing edges to: "elena gilbert" with relation "common.image.appears_in_topic_gallery". Node "the vampire diaries - season 3" has outgoing edges to: "m.0790rw5" with relation "tv.tv_series_season.regular_cast". Node "the vampire diaries - season 2" has outgoing edges to: "m.0790rw5" with relation "tv.tv_series_season.regular_cast". Node "the vampire diaries - season 5" has outgoing edges to: "m.0790rw5" with relation "tv.tv_series_season.regular_cast". Node "the vampire diaries" has outgoing edges to: "m.0790rw5" with relation "tv.tv_program.regular_cast". Node "nina dobrev" has outgoing edges to: "m.0790rw5" with relation "tv.tv_actor.starring_roles". Node "the vampire diaries - season 4" has outgoing edges to: "m.0790rw5" with relation "tv.tv_series_season.regular_cast". Node "the vampire diaries - season 1" has outgoing edges to: "m.0790rw5" with relation "tv.tv_series_season.regular_cast".

("elena gilbert", "tv.tv_character.appeared_in_tv_program", "m.0790rw5"), ("elena gilbert", "common.topic.image", "elena-gilbert-photo.jpg"), ("elena gilbert", "cvg.game_character.games", "m.012g2blc"), ("elena-gilbert-elena-gilbert-8212104-800-533.jpg", "common.image.appears_in_topic_gallery", "elena gilbert"), ("the vampire diaries - season 3", "tv.tv_series_season.regular_cast", "m.0790rw5"), ("the vampire diaries - season 2", "tv.tv_series_season.regular_cast", "m.0790rw5"), ("the vampire diaries - season 5", "tv.tv_series_season.regular_cast", "m.0790rw5"), ("the vampire diaries", "tv.tv_program.regular_cast", "m.0790rw5"), ("nina dobrev", "tv.tv_actor.starring_roles", "m.0790rw5"), ("the vampire diaries - season 4", "tv.tv_series_season.regular_cast", "m.0790rw5"), ("the vampire diaries - season 1", "tv.tv_series_season.regular_cast", "m.0790rw5")

Elena Gilbert, portrayed by Nina Dobrev, is a regular character in "The Vampire Diaries" and its seasons 1 through 5, appearing in various TV programs and games including "The Vampire Diaries" series and game m.012g2blc. Elena's image is featured in galleries and is captured in photos such as "elena-gilbert-photo.jpg" and "elena-gilbert-elena-gilbert-8212104-800-533.jpg".

Nina Dobrev plays Elena Gilbert in the TV series "The Vampire Diaries," appearing as a regular cast member across all seasons from 1 to 5.

Nina Dobrev plays Elena Gilbert in the TV series "The Vampire Diaries" across all its seasons mentioned, including seasons 1 through 5.

Nina Dobrev plays Elena Gilbert in The Vampire Diaries, appearing as a regular cast member across all seasons from Season 1 through Season 5.

Nina Dobrev plays Elena Gilbert in the TV program "The Vampire Diaries" across all seasons including seasons 1 through 5.

Nina Dobrev plays Elena Gilbert in "The Vampire Diaries" across all seasons mentioned in the graph, including seasons 1 through 5.


Question: what does the missouri river bisect

You are a graph analyst and you have been given a graph G among "little missouri river", "gallatin river", "yellowstone river", "white river", "missouri river", "mississippi river", "blue river", "st. francis river", "wapsipinicon river", "little river", "frenchman river", "tongue river", "osage river", "keya paha river", "upper iowa river", "black river", "powder river", "des moines river", "big sioux river", "platte river", "gulf of mexico", "rock river", "grand river", "niobrara river", "milk river", "madison river", "james river", "the missouri river and its tributaries". G has the following directed edges: "missouri river"-(common.topic.image)->"the missouri river and its tributaries", "missouri river"-(geography.river.mouth)->"mississippi river", "st. francis river"-(geography.river.mouth)->"mississippi river", "gallatin river"-(geography.river.mouth)->"missouri river", "little missouri river"-(geography.river.mouth)->"missouri river", "osage river"-(geography.river.mouth)->"missouri river", "big sioux river"-(geography.river.mouth)->"missouri river", "platte river"-(geography.river.mouth)->"missouri river", "keya paha river"-(geography.river.mouth)->"niobrara river", "madison river"-(geography.river.mouth)->"missouri river", "niobrara river"-(geography.river.mouth)->"missouri river", "mississippi river"-(geography.river.mouth)->"gulf of mexico", "white river"-(geography.river.mouth)->"missouri river", "milk river"-(geography.river.mouth)->"missouri river", "blue river"-(geography.river.mouth)->"missouri river", "wapsipinicon river"-(geography.river.mouth)->"mississippi river", "james river"-(geography.river.mouth)->"missouri river", "little river"-(geography.river.mouth)->"st. francis river", "des moines river"-(geography.river.mouth)->"mississippi river", "grand river"-(geography.river.mouth)->"missouri river", "rock river"-(geography.river.mouth)->"big sioux river", "frenchman river"-(geography.river.mouth)->"milk river", "upper iowa river"-(geography.river.mouth)->"mississippi river", "powder river"-(geography.river.mouth)->"yellowstone river", "tongue river"-(geography.river.mouth)->"yellowstone river", "yellowstone river"-(geography.river.mouth)->"missouri river", "black river"-(geography.river.mouth)->"white river".

South Dakota
Montana
North Dakota
Kansas
Missouri
Nebraska
Iowa

node_id,node_attr
14,little missouri river
15,gallatin river
18,yellowstone river
21,white river
43,missouri river
90,mississippi river
125,blue river
167,st. francis river
227,wapsipinicon river
350,little river
353,frenchman river
372,tongue river
392,osage river
405,keya paha river
479,upper iowa river
551,black river
574,powder river
588,des moines river
652,big sioux river
772,platte river
796,gulf of mexico
827,rock river
907,grand river
923,niobrara river
1032,milk river
1121,madison river
1210,james river
1348,the missouri river and its tributaries

src,edge_attr,dst
43,common.topic.image,1348
167,geography.river.mouth,90
15,geography.river.mouth,43
14,geography.river.mouth,43
392,geography.river.mouth,43
652,geography.river.mouth,43
772,geography.river.mouth,43
405,geography.river.mouth,923
1121,geography.river.mouth,43
923,geography.river.mouth,43
90,geography.river.mouth,796
21,geography.river.mouth,43
1032,geography.river.mouth,43
125,geography.river.mouth,43
227,geography.river.mouth,90
1210,geography.river.mouth,43
350,geography.river.mouth,167
588,geography.river.mouth,90
907,geography.river.mouth,43
827,geography.river.mouth,652
353,geography.river.mouth,1032
479,geography.river.mouth,90
43,geography.river.mouth,90
574,geography.river.mouth,18
372,geography.river.mouth,18
18,geography.river.mouth,43
551,geography.river.mouth,21

G describes a graph among nodes "little missouri river", "gallatin river", "yellowstone river", "white river", "missouri river", "mississippi river", "blue river", "st. francis river", "wapsipinicon river", "little river", "frenchman river", "tongue river", "osage river", "keya paha river", "upper iowa river", "black river", "powder river", "des moines river", "big sioux river", "platte river", "gulf of mexico", "rock river", "grand river", "niobrara river", "milk river", "madison river", "james river", "the missouri river and its tributaries".In this graph: Node "missouri river" has outgoing edges to: "the missouri river and its tributaries" with relation "common.topic.image". Node "missouri river" has outgoing edges to: "mississippi river" with relation "geography.river.mouth". Node "st. francis river" has outgoing edges to: "mississippi river" with relation "geography.river.mouth". Node "gallatin river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "little missouri river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "osage river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "big sioux river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "platte river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "keya paha river" has outgoing edges to: "niobrara river" with relation "geography.river.mouth". Node "madison river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "niobrara river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "mississippi river" has outgoing edges to: "gulf of mexico" with relation "geography.river.mouth". Node "white river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "milk river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "blue river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "wapsipinicon river" has outgoing edges to: "mississippi river" with relation "geography.river.mouth". Node "james river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "little river" has outgoing edges to: "st. francis river" with relation "geography.river.mouth". Node "des moines river" has outgoing edges to: "mississippi river" with relation "geography.river.mouth". Node "grand river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "rock river" has outgoing edges to: "big sioux river" with relation "geography.river.mouth". Node "frenchman river" has outgoing edges to: "milk river" with relation "geography.river.mouth". Node "upper iowa river" has outgoing edges to: "mississippi river" with relation "geography.river.mouth". Node "powder river" has outgoing edges to: "yellowstone river" with relation "geography.river.mouth". Node "tongue river" has outgoing edges to: "yellowstone river" with relation "geography.river.mouth". Node "yellowstone river" has outgoing edges to: "missouri river" with relation "geography.river.mouth". Node "black river" has outgoing edges to: "white river" with relation "geography.river.mouth".

("missouri river", "common.topic.image", "the missouri river and its tributaries"), ("missouri river", "geography.river.mouth", "mississippi river"), ("st. francis river", "geography.river.mouth", "mississippi river"), ("gallatin river", "geography.river.mouth", "missouri river"), ("little missouri river", "geography.river.mouth", "missouri river"), ("osage river", "geography.river.mouth", "missouri river"), ("big sioux river", "geography.river.mouth", "missouri river"), ("platte river", "geography.river.mouth", "missouri river"), ("keya paha river", "geography.river.mouth", "niobrara river"), ("madison river", "geography.river.mouth", "missouri river"), ("niobrara river", "geography.river.mouth", "missouri river"), ("mississippi river", "geography.river.mouth", "gulf of mexico"), ("white river", "geography.river.mouth", "missouri river"), ("milk river", "geography.river.mouth", "missouri river"), ("blue river", "geography.river.mouth", "missouri river"), ("wapsipinicon river", "geography.river.mouth", "mississippi river"), ("james river", "geography.river.mouth", "missouri river"), ("little river", "geography.river.mouth", "st. francis river"), ("des moines river", "geography.river.mouth", "mississippi river"), ("grand river", "geography.river.mouth", "missouri river"), ("rock river", "geography.river.mouth", "big sioux river"), ("frenchman river", "geography.river.mouth", "milk river"), ("upper iowa river", "geography.river.mouth", "mississippi river"), ("powder river", "geography.river.mouth", "yellowstone river"), ("tongue river", "geography.river.mouth", "yellowstone river"), ("yellowstone river", "geography.river.mouth", "missouri river"), ("black river", "geography.river.mouth", "white river")

The Missouri River, along with its tributaries including the Gallatin, Little Missouri, Osage, Big Sioux, Platte, Madison, White, Milk, Blue, Grand, and James rivers, flows into the Mississippi River, which itself empties into the Gulf of Mexico. Other notable tributaries of the Missouri River are the Niobrara, joined by the Keya Paha, and the Yellowstone, fed by the Powder and Tongue rivers. The St. Francis River, with the Little River as a tributary, and the Wapsipinicon River also empty into the Mississippi. The Des Moines River, Rock River (which flows into the Big Sioux), and Upper Iowa River contribute to the Mississippi, while the Black River merges with the White River, a tributary of the Missouri. The Frenchman River flows into the Milk River, another tributary of the Missouri.

The Missouri River bisects the state of Missouri, flowing through it before emptying into the Mississippi River. Notable tributaries contributing to the Missouri within this region include the Gallatin, Madison, and Grand rivers, among others.

The Missouri River bisects the state of Missouri, flowing northward before turning eastward to join the Mississippi River.

The Missouri River bisects the state of Missouri, connecting numerous tributaries including the Platte River, Yellowstone River, and James River before joining the Mississippi River.

The Missouri River bisects the state of Missouri, flowing through it before joining the Mississippi River.

The Missouri River bisects the state of Missouri, serving as a major geographical feature that flows through it before joining the Mississippi River.


Question: what nationality is taylor lautner jacob black

You are a graph analyst and you have been given a graph G among "taylor lautner", "daniel lautner", "jacob black", "french american", "m.0djz10s", "henri", "scarlett o'hara". G has the following directed edges: "jacob black"-(film.film_character.portrayed_in_films)->"m.0djz10s", "m.0djz10s"-(film.performance.actor)->"taylor lautner", "daniel lautner"-(people.person.children)->"taylor lautner", "taylor lautner"-(people.person.ethnicity)->"french american", "scarlett o'hara"-(fictional_universe.fictional_character.ethnicity)->"french american", "henri"-(fictional_universe.fictional_character.ethnicity)->"french american".

node_id,node_attr
11,taylor lautner
32,daniel lautner
46,jacob black
147,french american
233,m.0djz10s
369,henri
498,scarlett o'hara

src,edge_attr,dst
46,film.film_character.portrayed_in_films,233
233,film.performance.actor,11
32,people.person.children,11
11,people.person.ethnicity,147
498,fictional_universe.fictional_character.ethnicity,147
369,fictional_universe.fictional_character.ethnicity,147

G describes a graph among nodes "taylor lautner", "daniel lautner", "jacob black", "french american", "m.0djz10s", "henri", "scarlett o'hara".In this graph: Node "jacob black" has outgoing edges to: "m.0djz10s" with relation "film.film_character.portrayed_in_films". Node "m.0djz10s" has outgoing edges to: "taylor lautner" with relation "film.performance.actor". Node "daniel lautner" has outgoing edges to: "taylor lautner" with relation "people.person.children". Node "taylor lautner" has outgoing edges to: "french american" with relation "people.person.ethnicity". Node "scarlett o'hara" has outgoing edges to: "french american" with relation "fictional_universe.fictional_character.ethnicity". Node "henri" has outgoing edges to: "french american" with relation "fictional_universe.fictional_character.ethnicity".

("jacob black", "film.film_character.portrayed_in_films", "m.0djz10s"), ("m.0djz10s", "film.performance.actor", "taylor lautner"), ("daniel lautner", "people.person.children", "taylor lautner"), ("taylor lautner", "people.person.ethnicity", "french american"), ("scarlett o'hara", "fictional_universe.fictional_character.ethnicity", "french american"), ("henri", "fictional_universe.fictional_character.ethnicity", "french american")

Jacob Black, portrayed by Taylor Lautner in films, is the son of Daniel Lautner, with Taylor identifying as French American. Similarly, fictional characters Scarlett O'Hara and Henri are also characterized as French American.

Taylor Lautner, who portrayed Jacob Black in films, is of French American ethnicity.

Taylor Lautner, who portrayed the character Jacob Black, is of French American ethnicity.

Taylor Lautner, who portrayed the character Jacob Black in films, is of French American ethnicity.

Taylor Lautner, who portrayed Jacob Black in films, has French American ethnicity.


Question: what animal represents california

You are a graph analyst and you have been given a graph G among "california", "california department of fish and wildlife", "m.0462792", "california grizzly bear", "alex mack", "california endangered species act", "mutant", "state animal". G has the following directed edges: "california"-(government.governmental_jurisdiction.agencies)->"california department of fish and wildlife", "california"-(government.governmental_jurisdiction.official_symbols)->"m.0462792", "california"-(fictional_universe.fictional_setting.characters_that_have_lived_here)->"alex mack", "california department of fish and wildlife"-(book.author.works_written)->"california endangered species act", "m.0462792"-(location.location_symbol_relationship.Kind_of_symbol)->"state animal", "m.0462792"-(location.location_symbol_relationship.symbol)->"california grizzly bear", "alex mack"-(fictional_universe.fictional_character.species)->"mutant".

node_id,node_attr
8,california
351,california department of fish and wildlife
458,m.0462792
459,california grizzly bear
544,alex mack
1088,california endangered species act
1108,mutant
1318,state animal

src,edge_attr,dst
8,government.governmental_jurisdiction.agencies,351
8,government.governmental_jurisdiction.official_symbols,458
8,fictional_universe.fictional_setting.characters_that_have_lived_here,544
351,book.author.works_written,1088
458,location.location_symbol_relationship.Kind_of_symbol,1318
458,location.location_symbol_relationship.symbol,459
544,fictional_universe.fictional_character.species,1108

G describes a graph among nodes "california", "california department of fish and wildlife", "m.0462792", "california grizzly bear", "alex mack", "california endangered species act", "mutant", "state animal".In this graph: Node "california" has outgoing edges to: "california department of fish and wildlife" with relation "government.governmental_jurisdiction.agencies". Node "california" has outgoing edges to: "m.0462792" with relation "government.governmental_jurisdiction.official_symbols". Node "california" has outgoing edges to: "alex mack" with relation "fictional_universe.fictional_setting.characters_that_have_lived_here". Node "california department of fish and wildlife" has outgoing edges to: "california endangered species act" with relation "book.author.works_written". Node "m.0462792" has outgoing edges to: "state animal" with relation "location.location_symbol_relationship.Kind_of_symbol". Node "m.0462792" has outgoing edges to: "california grizzly bear" with relation "location.location_symbol_relationship.symbol". Node "alex mack" has outgoing edges to: "mutant" with relation "fictional_universe.fictional_character.species".

("california", "government.governmental_jurisdiction.agencies", "california department of fish and wildlife"), ("california", "government.governmental_jurisdiction.official_symbols", "m.0462792"), ("california", "fictional_universe.fictional_setting.characters_that_have_lived_here", "alex mack"), ("california department of fish and wildlife", "book.author.works_written", "california endangered species act"), ("m.0462792", "location.location_symbol_relationship.Kind_of_symbol", "state animal"), ("m.0462792", "location.location_symbol_relationship.symbol", "california grizzly bear"), ("alex mack", "fictional_universe.fictional_character.species", "mutant")

California, governed by its governmental agencies like the California Department of Fish and Wildlife, which authored the California Endangered Species Act, features the California grizzly bear as its state animal symbol, identified by symbol m.0462792. Within fictional contexts, the state has been inhabited by characters such as Alex Mack, a mutant.

California's official state animal is the California grizzly bear (symbolized as "m.0462792"), though it's worth noting that the grizzly bear is extinct in the state.

California's state animal is the California grizzly bear, represented by symbol m.0462792 under official governmental symbols.

California's official state animal, as indicated by symbol m.0462792, is the California grizzly bear.

California's official state animal, as indicated by the symbol "m.0462792", is the California grizzly bear.

The state animal of California, symbolized as "m.0462792" under official symbols, is the California grizzly bear.


Question: what company does nike own

You are a graph analyst and you have been given a graph G among ""nike, inc."", "nike inc -cl b common stock", "m.0gl_dcq", "nike", "converse", "nike mag", "hurley international", "m.0_xgpqn", "m.0ndsb35", "m.03jp6lh", "nike tiempo legend iii", "nike tiempo", "m.0cr0gxk", "nike skateboarding". G has the following directed edges: ""nike, inc.""-(business.consumer_company.brands)->"m.0cr0gxk", ""nike, inc.""-(business.consumer_company.brands)->"m.0gl_dcq", ""nike, inc.""-(business.issuer.issue)->"nike inc -cl b common stock", "m.0_xgpqn"-(business.company_brand_relationship.company)->""nike, inc."", "nike"-(business.brand.products)->"nike mag", "nike"-(business.brand.owner_s)->"m.0gl_dcq", "nike tiempo"-(business.brand.products)->"nike tiempo legend iii", "nike tiempo"-(business.brand.owner_s)->"m.0cr0gxk", "m.0ndsb35"-(business.acquisition.acquiring_company)->""nike, inc."", "m.0ndsb35"-(business.acquisition.company_acquired)->"converse", "m.03jp6lh"-(business.acquisition.company_acquired)->"hurley international", "m.03jp6lh"-(business.acquisition.acquiring_company)->""nike, inc."", "nike skateboarding"-(business.brand.owner_s)->"m.0_xgpqn".

NIKE European Operations Netherlands B.V.

Converse Footwear Technical Service (Zhongshan) Co Ltd

NIKE Servicios de Mexico S. de R.L. de C.V.

NIKE do Brasil Comercio e Participacoes Ltda

node_id,node_attr
13,"nike, inc."
26,nike inc -cl b common stock
113,m.0gl_dcq
175,nike
188,converse
209,nike mag
262,hurley international
290,m.0_xgpqn
294,m.0ndsb35
297,m.03jp6lh
417,nike tiempo legend iii
418,nike tiempo
535,m.0cr0gxk
540,nike skateboarding

src,edge_attr,dst
13,business.consumer_company.brands,535
290,business.company_brand_relationship.company,13
13,business.consumer_company.brands,113
13,business.issuer.issue,26
175,business.brand.products,209
418,business.brand.products,417
294,business.acquisition.acquiring_company,13
297,business.acquisition.company_acquired,262
297,business.acquisition.acquiring_company,13
540,business.brand.owner_s,290
175,business.brand.owner_s,113
418,business.brand.owner_s,535
294,business.acquisition.company_acquired,188

G describes a graph among nodes ""nike, inc."", "nike inc -cl b common stock", "m.0gl_dcq", "nike", "converse", "nike mag", "hurley international", "m.0_xgpqn", "m.0ndsb35", "m.03jp6lh", "nike tiempo legend iii", "nike tiempo", "m.0cr0gxk", "nike skateboarding".In this graph: Node ""nike, inc."" has outgoing edges to: "m.0cr0gxk", "m.0gl_dcq" with relation "business.consumer_company.brands". Node ""nike, inc."" has outgoing edges to: "nike inc -cl b common stock" with relation "business.issuer.issue". Node "m.0_xgpqn" has outgoing edges to: ""nike, inc."" with relation "business.company_brand_relationship.company". Node "nike" has outgoing edges to: "nike mag" with relation "business.brand.products". Node "nike" has outgoing edges to: "m.0gl_dcq" with relation "business.brand.owner_s". Node "nike tiempo" has outgoing edges to: "nike tiempo legend iii" with relation "business.brand.products". Node "nike tiempo" has outgoing edges to: "m.0cr0gxk" with relation "business.brand.owner_s". Node "m.0ndsb35" has outgoing edges to: ""nike, inc."" with relation "business.acquisition.acquiring_company". Node "m.0ndsb35" has outgoing edges to: "converse" with relation "business.acquisition.company_acquired". Node "m.03jp6lh" has outgoing edges to: "hurley international" with relation "business.acquisition.company_acquired". Node "m.03jp6lh" has outgoing edges to: ""nike, inc."" with relation "business.acquisition.acquiring_company". Node "nike skateboarding" has outgoing edges to: "m.0_xgpqn" with relation "business.brand.owner_s".

(""nike, inc."", "business.consumer_company.brands", "m.0cr0gxk"), (""nike, inc."", "business.consumer_company.brands", "m.0gl_dcq"), (""nike, inc."", "business.issuer.issue", "nike inc -cl b common stock"), ("m.0_xgpqn", "business.company_brand_relationship.company", ""nike, inc.""), ("nike", "business.brand.products", "nike mag"), ("nike", "business.brand.owner_s", "m.0gl_dcq"), ("nike tiempo", "business.brand.products", "nike tiempo legend iii"), ("nike tiempo", "business.brand.owner_s", "m.0cr0gxk"), ("m.0ndsb35", "business.acquisition.acquiring_company", ""nike, inc.""), ("m.0ndsb35", "business.acquisition.company_acquired", "converse"), ("m.03jp6lh", "business.acquisition.company_acquired", "hurley international"), ("m.03jp6lh", "business.acquisition.acquiring_company", ""nike, inc.""), ("nike skateboarding", "business.brand.owner_s", "m.0_xgpqn")

Nike, Inc. owns brands such as Nike and Nike Tiempo, with Nike Tiempo specifically producing the Nike Tiempo Legend III. Nike Inc. also issues Nike Inc. -CL B common stock. The company Converse and Hurley International were acquired by Nike, Inc. Additionally, Nike Skateboarding is owned by a related entity, m.0_xgpqn, which is associated with Nike, Inc. The brand Nike itself produces products like the Nike Mag.

Nike, Inc. owns several brands including Converse and Hurley International, with Converse acquired through the identifier "m.0ndsb35" and Hurley International through "m.03jp6lh". Additionally, "m.0_xgpqn" represents another entity under Nike, Inc., owning brands like Nike Skateboarding.

Nike, Inc. owns several brands including Converse and Hurley International, acquired through acquisitions, as well as internal brands like Nike and Nike Skateboarding.

Nike, Inc. owns several brands including those identified under nodes m.0cr0gxk (which owns products like Nike Tiempo Legend III) and m.0gl_dcq (associated with the Nike brand and products like Nike Mag). Notably, Nike, Inc. has also acquired Converse and Hurley International, making these companies subsidiaries of Nike, Inc. Additionally, Nike Skateboarding is associated with a node (m.0_xgpqn) linked to Nike, Inc., indicating ownership or a close brand relationship.

Nike, Inc. owns several brands including Nike, Nike Tiempo, Nike Skateboarding, Converse, and Hurley International, which were acquired through acquisitions. Specifically, Converse was acquired under the identifier "m.0ndsb35," and Hurley International under "m.03jp6lh." The brand "Nike Tiempo" is associated with the identifier "m.0cr0gxk," while "Nike Skateboarding" is linked to "m.0_xgpqn," both under Nike's ownership structure.

Nike, Inc. owns several brands including Nike, Nike tiempo (via m.0cr0gxk), and Nike Skateboarding (via m.0_xgpqn). Additionally, Nike, Inc. has acquired Converse and Hurley International.