triple1 listlengths 3 3 | triple2 listlengths 3 3 | triple3 listlengths 3 3 | triple1_labels listlengths 3 3 | triple2_labels listlengths 3 3 | triple3_labels listlengths 3 3 | description stringlengths 8 17 | keep_triple bool 1
class | query_prompt stringlengths 3.24k 3.33k | query stringlengths 86 205 | entity_a stringlengths 4 53 | entity_b stringlengths 4 66 | rel_b stringlengths 5 36 | index int64 0 921 | prompt stringlengths 3.54k 3.72k | path_prediction listlengths 1 1 | prompt_for_path listlengths 1 1 | all_response_tokens listlengths 1 1 | all_reasoning_tokens listlengths 1 1 | raw_path_prediction listlengths 1 1 | source_path listlengths 3 3 | parsed_paths stringlengths 78 7.58k | reasoning_paths listlengths 1 1 | reasoning_0 stringlengths 4 9.24k | paths_0 stringlengths 76 7.58k | factuality_scores_0 listlengths 1 30 | raw_responses_factuality_0 listlengths 1 30 | parsed_scores_factuality_0 listlengths 1 30 | raw_salience_scores_0 listlengths 1 30 | min_salience_scores_0 listlengths 1 30 | salience_raw_responses_0 listlengths 1 30 | validity_per_path_0 listlengths 1 30 | validity_reasons_0 listlengths 1 30 | avg_path_length_0 float64 1 9.36 | num_paths_0 int64 1 30 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q1352656",
"P166",
"Q935843"
] | [
"Q356715",
"P166",
"Q935843"
] | [
"Q356715",
"P358",
"Q100871850"
] | [
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Benny Carter",
"discography",
"Benny Carter discography"
] | Q935843__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry? | Morton Gould | Benny Carter discography | discography | 0 | Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relatio... | [
"<think>\n**Mapping connections between composers**\n\nI’m trying to produce multiple pathways connecting Morton Gould to Benny Carter, ultimately leading to a final triple that includes Carter's discography. I need a diverse range of connections, like their collaborations, shared orchestras, and involvement with A... | [
"Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, ... | [
5057
] | [
4416
] | [
"<think>\n**Mapping connections between composers**\n\nI’m trying to produce multiple pathways connecting Morton Gould to Benny Carter, ultimately leading to a final triple that includes Carter's discography. I need a diverse range of connections, like their collaborations, shared orchestras, and involvement with A... | [
[
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"discography",
"Benny Carter discography"
]
] | [[[["morton gould", "born in", "new york city"], ["new york city", "birthplace of", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "has article on", "wikipedia"], ["wikipedia", "has article on", "benny carter"], ["benny carter", "discography", "benny carter discography"... | [
"<think>\n**Mapping connections between composers**\n\nI’m trying to produce multiple pathways connecting Morton Gould to Benny Carter, ultimately leading to a final triple that includes Carter's discography. I need a diverse range of connections, like their collaborations, shared orchestras, and involvement with A... | "<think>\n**Mapping connections between composers**\n\nI\u2019m trying to produce multiple pathways connecting Morton Gould to Benny Carter, ultimately leading to a final triple that includes Carter's discography. I need a diverse range of connections, like their collaborations, shared orchestras, and involvement with ... | [[["morton gould", "born in", "new york city"], ["new york city", "birthplace of", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "has article on", "wikipedia"], ["wikipedia", "has article on", "benny carter"], ["benny carter", "discography", "benny carter discography"]... | [
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"{\n \"explanation\": \"The first triple states that Morton Gould was born in New York City. Both Morton Gould and New York City are real entities, and it is historically valid that he was born there, so this triple is not hallucinated. The second triple claims that New York City is the birthplace of Benny Carter.... | [
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"[\n {\n \"explanation\": \"For the triple ('morton gould', 'born in', 'new york city'), Class A consists of all individuals who were born in New York City. This includes a large number of people, as New York City is a major metropolitan area with a rich history of births. Class B consists of all places that Mo... | [
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[
"Q2085",
"P161",
"Q164328"
] | [
"Q2085",
"P161",
"Q174263"
] | [
"Q174263",
"P19",
"Q268873"
] | [
"Twin Peaks",
"cast member",
"David Koechner"
] | [
"Twin Peaks",
"cast member",
"Rodney Rowland"
] | [
"Rodney Rowland",
"place of birth",
"Newport Beach"
] | Q2085__P161 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach? | David Koechner | Newport Beach | place of birth | 2 | Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a c... | [
"<answer>{\n1: [\n [\"David Koechner\", \"co-star\", \"Will Ferrell\"],\n [\"Will Ferrell\", \"co-founded\", \"Funny or Die\"],\n [\"Funny or Die\", \"employed\", \"Adam Brody\"],\n [\"Adam Brody\", \"place of birth\", \"Newport Beach\"]\n],\n2: [\n [\"David Koechner\", \"acted in\", \"Anchorman\"],\n [\"Anch... | [
"Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) form... | [
3586
] | [
0
] | [
"<answer>{\n1: [\n [\"David Koechner\", \"co-star\", \"Will Ferrell\"],\n [\"Will Ferrell\", \"co-founded\", \"Funny or Die\"],\n [\"Funny or Die\", \"employed\", \"Adam Brody\"],\n [\"Adam Brody\", \"place of birth\", \"Newport Beach\"]\n],\n2: [\n [\"David Koechner\", \"acted in\", \"Anchorman\"],\n [\"Anch... | [
[
"Twin Peaks",
"cast member",
"David Koechner"
],
[
"Twin Peaks",
"cast member",
"Rodney Rowland"
],
[
"Rodney Rowland",
"place of birth",
"Newport Beach"
]
] | [[[["david koechner", "co-star", "will ferrell"], ["will ferrell", "co-founded", "funny or die"], ["funny or die", "employed", "adam brody"], ["adam brody", "place of birth", "newport beach"]], [["david koechner", "acted in", "anchorman"], ["anchorman", "starred", "will ferrell"], ["will ferrell", "guest-starred with",... | [
null
] | null | [[["david koechner", "co-star", "will ferrell"], ["will ferrell", "co-founded", "funny or die"], ["funny or die", "employed", "adam brody"], ["adam brody", "place of birth", "newport beach"]], [["david koechner", "acted in", "anchorman"], ["anchorman", "starred", "will ferrell"], ["will ferrell", "guest-starred with", ... | [
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"{\n \"explanation\": \"The first triple states that David Koechner co-starred with Will Ferrell, which is true as they both appeared in the movie 'Anchorman'. The second triple claims that Will Ferrell co-founded 'Funny or Die', which is also accurate as he was one of the co-founders of the comedy website. The th... | [
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[
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[
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"[\n {\n \"explanation\": \"For the triple ('david koechner', 'co-star', 'will ferrell'), Class A consists of all individuals who co-starred with Will Ferrell. This includes many actors and actresses, likely numbering in the hundreds. Class B consists of all individuals who Will Ferrell co-starred with, which a... | [
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] | 3.9 | 20 |
[
"Q18037479",
"P2293",
"Q11081"
] | [
"Q18053558",
"P2293",
"Q11081"
] | [
"Q18053558",
"P2548",
"Q22809711"
] | [
"CD2AP",
"genetic association",
"Alzheimer's disease"
] | [
"ATXN7L1",
"genetic association",
"Alzheimer's disease"
] | [
"ATXN7L1",
"strand orientation",
"reverse strand"
] | Q11081__P2293 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substa(...TRUNCATED) | CD2AP | reverse strand | strand orientation | 3 | "Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and a(...TRUNCATED) | ["<think>\n**Linking strand orientations**\n\nI need to create paths that connect CD2AP to a final t(...TRUNCATED) | ["Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and (...TRUNCATED) | [
8218
] | [
7104
] | ["<think>\n**Linking strand orientations**\n\nI need to create paths that connect CD2AP to a final t(...TRUNCATED) | [["CD2AP","genetic association","Alzheimer's disease"],["ATXN7L1","genetic association","Alzheimer's(...TRUNCATED) | "[[[[\"cd2ap\", \"expressed as\", \"cd2ap mrna\"], [\"cd2ap mrna\", \"complementary to\", \"antisens(...TRUNCATED) | ["<think>\n**Linking strand orientations**\n\nI need to create paths that connect CD2AP to a final t(...TRUNCATED) | "\"<think>\\n**Linking strand orientations**\\n\\nI need to create paths that connect CD2AP to a fin(...TRUNCATED) | "[[[\"cd2ap\", \"expressed as\", \"cd2ap mrna\"], [\"cd2ap mrna\", \"complementary to\", \"antisense(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
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1,
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1,
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1,
1
] | ["{\n \"explanation\": \"The first triple ('cd2ap', 'expressed as', 'cd2ap mrna') is valid as both (...TRUNCATED) | [[1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.(...TRUNCATED) | [[3,3,4],[3,3,3,4],[3,3,3,4],[3,4,4],[3,4,4],[3,4,4],[3,4,4],[4,4,3,4],[5,4,4,5],[4,4,4,5],[3,2,3],[(...TRUNCATED) | [
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"",
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"",
"",
""
] | 3.6 | 15 |
[
"Q283572",
"P463",
"Q254138"
] | [
"Q316136",
"P463",
"Q254138"
] | [
"Q316136",
"P19",
"Q39709"
] | [
"Kun Nong",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"place of birth",
"Des Moines"
] | Q254138__P463 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | What are different ways of connecting Kun Nong and someone who was born in Des Moines? | Kun Nong | Des Moines | place of birth | 4 | "Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nTa(...TRUNCATED) | ["<answer>{\n\"1\": [\n [\"Kun Nong\", \"collaborated\", \"Peter Bogdanovich\"],\n [\"Peter Bogdan(...TRUNCATED) | ["Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nT(...TRUNCATED) | [
6625
] | [
0
] | ["<answer>{\n\"1\": [\n [\"Kun Nong\", \"collaborated\", \"Peter Bogdanovich\"],\n [\"Peter Bogdan(...TRUNCATED) | [["Kun Nong","member of","Slipknot"],["Chris Fehn","member of","Slipknot"],["Chris Fehn","place of b(...TRUNCATED) | "[[[[\"kun nong\", \"collaborated\", \"peter bogdanovich\"], [\"peter bogdanovich\", \"directed\", \(...TRUNCATED) | [
null
] | null | "[[[\"kun nong\", \"collaborated\", \"peter bogdanovich\"], [\"peter bogdanovich\", \"directed\", \"(...TRUNCATED) | [
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] | 3.05 | 20 |
[
"Q423327",
"P2175",
"Q12199"
] | [
"Q422654",
"P2175",
"Q12199"
] | [
"Q422654",
"P769",
"Q898407"
] | [
"enfuvirtide",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"significant drug interaction",
"venlafaxine"
] | Q12199__P2175 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance (...TRUNCATED) | enfuvirtide | venlafaxine | significant drug interaction | 5 | "Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a sub(...TRUNCATED) | ["<think>\n**Exploring drug interactions**\n\nI need to trace various paths from 'enfuvirtide' to a (...TRUNCATED) | ["Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a su(...TRUNCATED) | [
7988
] | [
7040
] | ["<think>\n**Exploring drug interactions**\n\nI need to trace various paths from 'enfuvirtide' to a (...TRUNCATED) | [["enfuvirtide","medical condition treated","HIV/AIDS"],["saquinavir","medical condition treated","H(...TRUNCATED) | "[[[[\"enfuvirtide\", \"approved by\", \"u.s. food and drug administration\"], [\"u.s. food and drug(...TRUNCATED) | ["<think>\n**Exploring drug interactions**\n\nI need to trace various paths from 'enfuvirtide' to a (...TRUNCATED) | "\"<think>\\n**Exploring drug interactions**\\n\\nI need to trace various paths from 'enfuvirtide' t(...TRUNCATED) | "[[[\"enfuvirtide\", \"approved by\", \"u.s. food and drug administration\"], [\"u.s. food and drug (...TRUNCATED) | [
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0,
1,
1,
1,
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1,
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1,
1,
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] | ["{\n \"explanation\": \"The first triple states that 'enfuvirtide' is approved by the 'U.S. Food a(...TRUNCATED) | [[1.0,1.0,1.0],[1.0,1.0,1.0,0.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,0.0],[1.0,1.0,1.(...TRUNCATED) | [[1,1,2],[4,3,3,3],[3,3,3],[3,3,4],[3,3,3],[3,3,3],[4,3,4,4],[4,3,3,3,3],[4,2,3,3],[4,3,3,4],[4,3,4,(...TRUNCATED) | [
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] | 3.615385 | 13 |
[
"Q651253",
"P40",
"Q1268"
] | [
"Q9356382",
"P40",
"Q1268"
] | [
"Q9356382",
"P22",
"Q11716498"
] | [
"Nicolas Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"father",
"Jakub Krzyżanowski"
] | Q1268__P40 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyż(...TRUNCATED) | Nicolas Chopin | Jakub Krzyżanowski | father | 7 | "Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub(...TRUNCATED) | ["<answer>{\n \"1\": [\n [\"Nicolas Chopin\", \"father\", \"Jakub Krzyżanowski\"]\n ],\n \"2\(...TRUNCATED) | ["Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jaku(...TRUNCATED) | [
6354
] | [
0
] | ["<answer>{\n \"1\": [\n [\"Nicolas Chopin\", \"father\", \"Jakub Krzyżanowski\"]\n ],\n \"2\(...TRUNCATED) | [["Nicolas Chopin","child","Frédéric Chopin"],["Tekla Justyna Chopin","child","Frédéric Chopin"](...TRUNCATED) | "[[[[\"nicolas chopin\", \"father\", \"jakub krzy\\u017canowski\"]], [[\"nicolas chopin\", \"father\(...TRUNCATED) | [
null
] | null | "[[[\"nicolas chopin\", \"father\", \"jakub krzy\\u017canowski\"]], [[\"nicolas chopin\", \"father\"(...TRUNCATED) | [
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] | ["{\n \"explanation\": \"In the triple ('nicolas chopin', 'father', 'jakub krzyżanowski'), the sub(...TRUNCATED) | [[0.0],[1.0,0.0],[1.0,1.0,0.0],[1.0,1.0,0.0],[0.0,1.0,1.0,0.0],[0.0,1.0,0.0],[1.0,1.0,0.0],[0.0,1.0,(...TRUNCATED) | [[5],[5,5],[5,5,5],[4,3,5],[1,2,3,5],[4,4,5],[5,5,5],[3,4,3,5],[3,3,5,5],[1,2,5],[1,1,5],[4,3,3,5],[(...TRUNCATED) | [
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[
"Q16727447",
"P54",
"Q223522"
] | [
"Q5293277",
"P54",
"Q223522"
] | [
"Q5293277",
"P69",
"Q235034"
] | [
"Horace Belton",
"member of sports team",
"Kansas City Chiefs"
] | [
"Don Parrish",
"member of sports team",
"Kansas City Chiefs"
] | [
"Don Parrish",
"educated at",
"University of Pittsburgh"
] | Q223522__P54 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Horace Belton and someone who was educated at the University (...TRUNCATED) | Horace Belton | University of Pittsburgh | educated at | 13 | "Query: What are different ways of connecting Horace Belton and someone who was educated at the Univ(...TRUNCATED) | ["<think>\n\n</think>\n\n<answer>{\n\"1\": [\n [\"Horace Belton\", \"played in\", \"National Footba(...TRUNCATED) | ["Query: What are different ways of connecting Horace Belton and someone who was educated at the Uni(...TRUNCATED) | [
7665
] | [
7040
] | ["<think>\n\n</think>\n\n<answer>{\n\"1\": [\n [\"Horace Belton\", \"played in\", \"National Footba(...TRUNCATED) | [["Horace Belton","member of sports team","Kansas City Chiefs"],["Don Parrish","member of sports tea(...TRUNCATED) | "[[[[\"horace belton\", \"played in\", \"national football league\"], [\"national football league\",(...TRUNCATED) | [
"<think>\n\n"
] | "<think>\n\n" | "[[[\"horace belton\", \"played in\", \"national football league\"], [\"national football league\", (...TRUNCATED) | [
0,
0,
1,
0,
0,
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0,
0,
0,
1,
0,
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] | ["{\n \"explanation\": \"The first triple states that Horace Belton played in the National Football(...TRUNCATED) | [[0.0,1.0,1.0],[0.0,1.0,1.0],[1.0,1.0,1.0],[0.0,1.0,1.0,1.0],[0.0,1.0,1.0],[0.0,1.0,1.0],[0.0,1.0,1.(...TRUNCATED) | [
[
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[
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[
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[
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[
2,
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... | [
1,
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] | ["[\n {\n \"explanation\": \"For the triple ('horace belton', 'played in', 'national football le(...TRUNCATED) | [
1,
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] | 3.083333 | 12 |
[
"Q319392",
"P463",
"Q43267"
] | [
"Q2831",
"P463",
"Q43267"
] | [
"Q2831",
"P8693",
"Q74073658"
] | [
"Marlon Jackson",
"member of",
"The Jackson 5"
] | [
"Michael Jackson",
"member of",
"The Jackson 5"
] | [
"Michael Jackson",
"fandom",
"Michael Jackson fandom"
] | Q43267__P463 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Marlon Jackson, a member of the famous Jackson family, and so(...TRUNCATED) | Marlon Jackson | Michael Jackson fandom | fandom | 15 | "Query: What are different ways of connecting Marlon Jackson, a member of the famous Jackson family,(...TRUNCATED) | ["<think>\n**Crafting data paths**\n\nI might feel a bit uncertain here. I know I can reuse some sim(...TRUNCATED) | ["Query: What are different ways of connecting Marlon Jackson, a member of the famous Jackson family(...TRUNCATED) | [
7061
] | [
6144
] | ["<think>\n**Crafting data paths**\n\nI might feel a bit uncertain here. I know I can reuse some sim(...TRUNCATED) | [["Marlon Jackson","member of","The Jackson 5"],["Michael Jackson","member of","The Jackson 5"],["Mi(...TRUNCATED) | "[[[[\"marlon jackson\", \"sibling\", \"michael jackson\"], [\"michael jackson\", \"fandom\", \"mich(...TRUNCATED) | ["<think>\n**Crafting data paths**\n\nI might feel a bit uncertain here. I know I can reuse some sim(...TRUNCATED) | "\"<think>\\n**Crafting data paths**\\n\\nI might feel a bit uncertain here. I know I can reuse some(...TRUNCATED) | "[[[\"marlon jackson\", \"sibling\", \"michael jackson\"], [\"michael jackson\", \"fandom\", \"micha(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1
] | ["{\n \"explanation\": \"The first triple ('marlon jackson', 'sibling', 'michael jackson') is valid(...TRUNCATED) | [[1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0],[1.0,1.0,(...TRUNCATED) | [[5,1],[5,5,1],[5,5,1],[5,5,1],[1,1,1],[4,4,1],[4,1],[4,4,1],[5,3,2,1],[3,3,2,1],[5,4,4,3],[3,3,3,3](...TRUNCATED) | [
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3,
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5,
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] | ["[\n {\n \"explanation\": \"For the triple ('marlon jackson', 'sibling', 'michael jackson'), Cl(...TRUNCATED) | [
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] | 3.277778 | 18 |
[
"Q1257",
"P39",
"Q81066"
] | [
"Q1267",
"P39",
"Q81066"
] | [
"Q1267",
"P106",
"Q49757"
] | [
"Boutros Boutros-Ghali",
"position held",
"United Nations Secretary-General"
] | [
"Dag Hammarskjöld",
"position held",
"United Nations Secretary-General"
] | [
"Dag Hammarskjöld",
"occupation",
"poet"
] | Q81066__P39 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Boutros Boutros-Ghali, the former Secretary-General of the Un(...TRUNCATED) | Boutros Boutros-Ghali | poet | occupation | 16 | "Query: What are different ways of connecting Boutros Boutros-Ghali, the former Secretary-General of(...TRUNCATED) | ["<think>\n**Connecting with poets**\n\nI need to find connections between famous and lesser-known p(...TRUNCATED) | ["Query: What are different ways of connecting Boutros Boutros-Ghali, the former Secretary-General o(...TRUNCATED) | [
9060
] | [
8064
] | ["<think>\n**Connecting with poets**\n\nI need to find connections between famous and lesser-known p(...TRUNCATED) | [["Boutros Boutros-Ghali","position held","United Nations Secretary-General"],["Dag Hammarskjöld","(...TRUNCATED) | "[[[[\"boutros boutros-ghali\", \"employed_by\", \"united nations\"], [\"united nations\", \"member_(...TRUNCATED) | ["<think>\n**Connecting with poets**\n\nI need to find connections between famous and lesser-known p(...TRUNCATED) | "\"<think>\\n**Connecting with poets**\\n\\nI need to find connections between famous and lesser-kno(...TRUNCATED) | "[[[\"boutros boutros-ghali\", \"employed_by\", \"united nations\"], [\"united nations\", \"member_s(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
0,
1,
1,
1,
1,
1,
1
] | ["{\n \"explanation\": \"The first triple states that Boutros Boutros-Ghali was employed by the Uni(...TRUNCATED) | [[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[1.0,1.0,(...TRUNCATED) | [[2,3,1,1],[1,3,1,1],[1,3,1,1],[1,3,1,1],[1,3,1,1],[1,3,1,1],[1,3,1,1],[1,3,1,1],[1,3,1,1],[2,3,1,1](...TRUNCATED) | [
1,
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1,
1,
1
] | ["[\n {\n \"explanation\": \"For the triple ('boutros boutros-ghali', 'employed_by', 'united nat(...TRUNCATED) | [
1,
1,
1,
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1,
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"",
"",
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"",
"",
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"",
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"",
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""
] | 3.8 | 15 |
[
"Q104776463",
"P58",
"Q107809789"
] | [
"Q104776463",
"P58",
"Q1904757"
] | [
"Q1904757",
"P106",
"Q33999"
] | [
"The Expedition of the Family Fox",
"screenwriter",
"Job Römer"
] | [
"The Expedition of the Family Fox",
"screenwriter",
"Nienke Römer"
] | [
"Nienke Römer",
"occupation",
"actor"
] | Q104776463__P58 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | What are different ways of connecting Job Römer, a notable figure, and someone who is an actor? | Job Römer | actor | occupation | 18 | "Query: What are different ways of connecting Job Römer, a notable figure, and someone who is an ac(...TRUNCATED) | ["<answer>{\n \"1\": [\n [\"Job Römer\", \"occupation\", \"actor\"]\n ],\n \"2\": [\n [\"J(...TRUNCATED) | ["Query: What are different ways of connecting Job Römer, a notable figure, and someone who is an a(...TRUNCATED) | [
3765
] | [
0
] | ["<answer>{\n \"1\": [\n [\"Job Römer\", \"occupation\", \"actor\"]\n ],\n \"2\": [\n [\"J(...TRUNCATED) | [["The Expedition of the Family Fox","screenwriter","Job Römer"],["The Expedition of the Family Fox(...TRUNCATED) | "[[[[\"job r\\u00f6mer\", \"occupation\", \"actor\"]], [[\"job r\\u00f6mer\", \"parent of\", \"rutge(...TRUNCATED) | [
null
] | null | "[[[\"job r\\u00f6mer\", \"occupation\", \"actor\"]], [[\"job r\\u00f6mer\", \"parent of\", \"rutger(...TRUNCATED) | [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED) | ["{\n \"explanation\": \"In the triple ('job römer', 'occupation', 'actor'), the subject 'job röm(...TRUNCATED) | [[0.0],[0.0,1.0],[0.0,1.0],[0.0,1.0],[0.0,1.0],[0.0,1.0],[0.0,1.0],[0.0,1.0],[0.0,0.0,1.0],[0.0,1.0,(...TRUNCATED) | [[2],[3,2],[2,1],[4,2],[4,2],[2,1],[4,1],[3,2],[5,3,1],[3,4,1],[2,2,1],[4,3,1],[5,2],[4,1],[5,2],[5,(...TRUNCATED) | [
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3,
2,
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""
] | 2.4 | 25 |
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