index int64 | triple1 list | triple2 list | triple3 list | triple1_labels list | triple2_labels list | triple3_labels list | description string | keep_triple bool | query_prompt string | query string | entity_a string | entity_b string | rel_b string | prompt string | response string | usage list | path_prediction list | prompt_for_path list | raw_path_prediction list | source_path list | parsed_paths string | reasoning_paths list | reasoning_0 string | paths_0 string | factuality_scores_0 list | raw_responses_factuality_0 list | parsed_scores_factuality_0 list | raw_salience_scores_0 list | min_salience_scores_0 list | salience_raw_responses_0 list | validity_per_path_0 list | validity_reasons_0 list | avg_path_length_0 float64 | num_paths_0 float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | [
"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 | 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>Let me think about Morton Gould and Benny Carter, and find paths connecting them.
Morton Gould (1913-1996) was an American composer and conductor.
Benny Carter (1907-2003) was an American jazz musician (alto saxophonist, trumpeter, arranger, composer, bandleader).
The target is "Benny Carter discography" - so ... | [
{
"completion_tokens": 20630,
"prompt_tokens": 865,
"total_tokens": 21495
}
] | [
"<answer>\n{\n \"1\": [\n [\"Morton Gould\", \"president of\", \"ASCAP\"],\n [\"ASCAP\", \"member\", \"Benny Carter\"],\n [\"Benny Carter\", \"discography\", \"Benny Carter discography\"]\n ],\n \"2\": [\n [\"Morton Gould\", \"recorded for\", \"RCA Victor Records\"],\n [\"RCA Victor Records\", \"r... | [
"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, ... | [
"<answer>\n{\n \"1\": [\n [\"Morton Gould\", \"president of\", \"ASCAP\"],\n [\"ASCAP\", \"member\", \"Benny Carter\"],\n [\"Benny Carter\", \"discography\", \"Benny Carter discography\"]\n ],\n \"2\": [\n [\"Morton Gould\", \"recorded for\", \"RCA Victor Records\"],\n [\"RCA Victor Records\", \"r... | [
[
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"discography",
"Benny Carter discography"
]
] | [[[["morton gould", "president of", "ascap"], ["ascap", "member", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "recorded for", "rca victor records"], ["rca victor records", "released recordings by", "benny carter"], ["benny carter", "discography", "benny carter discog... | [
null
] | [] | [[["morton gould", "president of", "ascap"], ["ascap", "member", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "recorded for", "rca victor records"], ["rca victor records", "released recordings by", "benny carter"], ["benny carter", "discography", "benny carter discogr... | [
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"{\n \"explanation\": \"All three triples involve real, identifiable entities and plausible relationships. Morton Gould was indeed president of ASCAP, so the first triple is correct. Benny Carter was a well‑known jazz musician and a member of ASCAP, making the second triple accurate. The third triple links Benny C... | [
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[
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[
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[
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[
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"[\n {\n \"explanation\": \"Class A (subjects that are president of ASCAP): ASCAP has existed since 1914 and has had roughly a dozen different presidents over its history, so we estimate about 12 members. Class B (objects that Morton Gould is president of): Morton Gould is only known to have been president of A... | [
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] | 3.25 | 24 |
1 | [
"Q57067",
"P166",
"Q38104"
] | [
"Q131729",
"P166",
"Q38104"
] | [
"Q131729",
"P106",
"Q593644"
] | [
"Max von Laue",
"award received",
"Nobel Prize in Physics"
] | [
"William Lawrence Bragg",
"award received",
"Nobel Prize in Physics"
] | [
"William Lawrence Bragg",
"occupation",
"chemist"
] | Q38104__P166 | 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 Max von Laue, the physicist known for his work in X-ray diffr(...TRUNCATED) | Max von Laue | chemist | occupation | "Query: What are different ways of connecting Max von Laue, the physicist known for his work in X-ra(...TRUNCATED) | "<think>I need to find connection paths between Max von Laue (physicist known for X-ray diffraction)(...TRUNCATED) | [
{
"completion_tokens": 50004,
"prompt_tokens": 870,
"total_tokens": 50874
}
] | ["<answer>\n{\n \"1\": [\n [\"Max von Laue\", \"colleague of\", \"Fritz Haber\"],\n [\"Fritz (...TRUNCATED) | ["Query: What are different ways of connecting Max von Laue, the physicist known for his work in X-r(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n [\"Max von Laue\", \"colleague of\", \"Fritz Haber\"],\n [\"Fritz (...TRUNCATED) | [["Max von Laue","award received","Nobel Prize in Physics"],["William Lawrence Bragg","award receive(...TRUNCATED) | "[[[[\"max von laue\", \"colleague of\", \"fritz haber\"], [\"fritz haber\", \"occupation\", \"chemi(...TRUNCATED) | [
null
] | [] | "[[[\"max von laue\", \"colleague of\", \"fritz haber\"], [\"fritz haber\", \"occupation\", \"chemis(...TRUNCATED) | [1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0(...TRUNCATED) | ["{\n \"explanation\": \"Both Max von Laue and Fritz Haber are well‑known historical figures, so (...TRUNCATED) | [[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],[1.0,1.0,1.0],[1.0,1.0,1.0](...TRUNCATED) | [[4,1],[5,5,1],[2,1,1],[5,1],[4,1],[5,1,1],[4,4,1],[1,1,1],[3,1,1],[2,1,1],[1,1,1],[2,2,1],[3,3,1],[(...TRUNCATED) | [4.0,5.0,1.0,5.0,4.0,1.0,4.0,1.0,1.0,1.0,1.0,2.0,3.0,2.0,4.0,2.0,1.0,5.0,4.0,4.0,1.0,3.0,2.0,3.0,3.0(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subjects that are colleagues of Fritz Haber): Fritz Haber (...TRUNCATED) | [1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0(...TRUNCATED) | ["","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",(...TRUNCATED) | 3.02381 | 42 |
2 | [
"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.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting David Koechner, the American actor and comedian, and someone (...TRUNCATED) | David Koechner | Newport Beach | place of birth | "Query: What are different ways of connecting David Koechner, the American actor and comedian, and s(...TRUNCATED) | "<answer>\n{\n 1: [\n (\"David Koechner\", \"appeared in\", \"Anchorman: The Legend of Ron Burgu(...TRUNCATED) | [
{
"completion_tokens": 1101,
"prompt_tokens": 861,
"total_tokens": 1962
}
] | ["<answer>\n{\n 1: [\n (\"David Koechner\", \"appeared in\", \"Anchorman: The Legend of Ron Burg(...TRUNCATED) | ["Query: What are different ways of connecting David Koechner, the American actor and comedian, and (...TRUNCATED) | ["<answer>\n{\n 1: [\n (\"David Koechner\", \"appeared in\", \"Anchorman: The Legend of Ron Burg(...TRUNCATED) | [["Twin Peaks","cast member","David Koechner"],["Twin Peaks","cast member","Rodney Rowland"],["Rodne(...TRUNCATED) | "[[[[\"david koechner\", \"appeared in\", \"anchorman: the legend of ron burgundy\"], [\"anchorman: (...TRUNCATED) | [
null
] | [] | "[[[\"david koechner\", \"appeared in\", \"anchorman: the legend of ron burgundy\"], [\"anchorman: t(...TRUNCATED) | [
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0,
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] | ["{\n \"explanation\": \"The first triple links real actor David Koechner with the real film Anchor(...TRUNCATED) | [[1.0,1.0,0.0],[1.0,0.0],[1.0,1.0,0.0,0.0,1.0,0.0],[1.0,1.0,0.0],[0.0,1.0,0.0],[0.0,1.0,0.0,0.0],[1.(...TRUNCATED) | [[4,4,1],[3,3],[3,4,2,4,4,4],[4,4,1],[4,4,3],[3,4,4,3],[3,3,3],[4,5,3],[4,4,1],[2,1,1],[4,4,4],[4,4,(...TRUNCATED) | [
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3,
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4,
4,
3,
3,
4,
4,
1,
4,
4,
4,
3,
4,
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] | ["[\n {\n \"explanation\": \"Class A (subject‑variation) asks for all people who appeared in t(...TRUNCATED) | [
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] | [
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""
] | 3.125 | 16 |
3 | [
"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 | "Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and a(...TRUNCATED) | "<think>Let me think about CD2AP and find connections to substances/entities with reverse strand ori(...TRUNCATED) | [
{
"completion_tokens": 10575,
"prompt_tokens": 856,
"total_tokens": 11431
}
] | ["<answer>\n{\n \"1\": [\n [\"CD2AP\", \"strand orientation\", \"reverse strand\"]\n ],\n \"2\(...TRUNCATED) | ["Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and (...TRUNCATED) | ["<answer>\n{\n \"1\": [\n [\"CD2AP\", \"strand orientation\", \"reverse strand\"]\n ],\n \"2\(...TRUNCATED) | [["CD2AP","genetic association","Alzheimer's disease"],["ATXN7L1","genetic association","Alzheimer's(...TRUNCATED) | "[[[[\"cd2ap\", \"strand orientation\", \"reverse strand\"]], [[\"cd2ap\", \"interacts with\", \"nph(...TRUNCATED) | [
null
] | [] | "[[[\"cd2ap\", \"strand orientation\", \"reverse strand\"]], [[\"cd2ap\", \"interacts with\", \"nphs(...TRUNCATED) | [0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0(...TRUNCATED) | ["{\n \"explanation\": \"The subject 'cd2ap' refers to the CD2-associated protein gene, which is a (...TRUNCATED) | [[0.0],[1.0,0.0],[1.0,0.0],[1.0,1.0,0.0],[1.0,0.0],[1.0,1.0],[1.0,0.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[(...TRUNCATED) | [[1],[4,1],[4,1],[4,4,1],[4,1],[3,1],[5,1],[4,4,1],[3,4,1],[1,4,1],[3,1],[3,1],[4,1],[4,1],[4,4,1],[(...TRUNCATED) | [1.0,4.0,4.0,4.0,4.0,3.0,5.0,4.0,3.0,1.0,3.0,3.0,4.0,4.0,4.0,1.0,5.0,3.0,4.0,4.0,4.0,4.0,4.0,2.0,3.0(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subject‑variation) consists of every entity that can be (...TRUNCATED) | [1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0(...TRUNCATED) | [
"",
"",
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""
] | 2.566667 | 30 |
4 | [
"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 | "Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nTa(...TRUNCATED) | "<think>Let me think about Kun Nong. This appears to be a Chinese name. Let me think about who Kun N(...TRUNCATED) | [
{
"completion_tokens": 3975,
"prompt_tokens": 858,
"total_tokens": 4833
}
] | ["Looking at Kun Nong (Chinese athlete) and people born in Des Moines (notably Shawn Johnson, Cloris(...TRUNCATED) | ["Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nT(...TRUNCATED) | ["Looking at Kun Nong (Chinese athlete) and people born in Des Moines (notably Shawn Johnson, Cloris(...TRUNCATED) | [["Kun Nong","member of","Slipknot"],["Chris Fehn","member of","Slipknot"],["Chris Fehn","place of b(...TRUNCATED) | "[[[[\"kun nong\", \"competed at\", \"2008 summer olympics\"], [\"2008 summer olympics\", \"featured(...TRUNCATED) | [
null
] | [] | "[[[\"kun nong\", \"competed at\", \"2008 summer olympics\"], [\"2008 summer olympics\", \"featured (...TRUNCATED) | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0
] | ["{\n \"explanation\": \"The first triple mentions \\\"kun nong\\\" as a competitor at the 2008 Sum(...TRUNCATED) | [[0.0,1.0,1.0],[0.0,1.0,1.0,1.0],[0.0,1.0,1.0],[0.0,1.0,1.0,1.0],[0.0,1.0,1.0],[1.0,1.0,0.0],[0.0,1.(...TRUNCATED) | [[1,1,2],[2,4,4,2],[1,3,1],[4,4,4,1],[1,1,2],[1,5,5],[1,4,3,1,1],[3,4,2,3],[1,1,2],[1,3,4,1],[1,4,3,(...TRUNCATED) | [
1,
2,
1,
4,
1,
1,
1,
2,
1,
1,
1,
1,
1,
1,
1
] | ["[\n {\n \"explanation\": \"Class A (subject‑variation): all competitors who took part in the(...TRUNCATED) | [
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"",
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"",
"",
"",
"",
"",
"there is no continuity for the pair (1, 2)",
"",
"",
"",
"",
"",
"",
""
] | 3.6 | 15 |
5 | [
"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 | "Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a sub(...TRUNCATED) | "<think>Let me think about this query. I need to connect enfuvirtide (an HIV medication) to a substa(...TRUNCATED) | [
{
"completion_tokens": 15362,
"prompt_tokens": 869,
"total_tokens": 16231
}
] | ["<answer>\n{\n \"1\": [\n (\"enfuvirtide\", \"used with\", \"ritonavir\"),\n (\"ritonavir\",(...TRUNCATED) | ["Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a su(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n (\"enfuvirtide\", \"used with\", \"ritonavir\"),\n (\"ritonavir\",(...TRUNCATED) | [["enfuvirtide","medical condition treated","HIV/AIDS"],["saquinavir","medical condition treated","H(...TRUNCATED) | "[[[[\"enfuvirtide\", \"used with\", \"ritonavir\"], [\"ritonavir\", \"significant drug interaction\(...TRUNCATED) | [
null
] | [] | "[[[\"enfuvirtide\", \"used with\", \"ritonavir\"], [\"ritonavir\", \"significant drug interaction\"(...TRUNCATED) | [1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0(...TRUNCATED) | ["{\n \"explanation\": \"Both triples involve real, identifiable entities. Enfuvirtide is an HIV fu(...TRUNCATED) | [[1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,0.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[(...TRUNCATED) | [[4,3],[4,4,3],[4,4,4],[5,4,4],[4,4,3],[4,4,4],[4,4,3,3],[4,3,4,4],[4,4,4],[4,4,4,4],[4,3,4,4],[4,3,(...TRUNCATED) | [4.0,4.0,4.0,4.0,4.0,4.0,3.0,3.0,4.0,4.0,3.0,3.0,3.0,4.0,4.0,4.0,4.0,4.0,3.0,3.0,3.0,1.0,4.0,4.0,3.0(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subject‑variation) asks for all drugs that are \\\"used (...TRUNCATED) | [1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0(...TRUNCATED) | ["","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",(...TRUNCATED) | 3.8 | 35 |
6 | [
"Q77462",
"P463",
"Q32645"
] | [
"Q95556",
"P463",
"Q32645"
] | [
"Q95556",
"P451",
"Q551050"
] | [
"Bela B",
"member of",
"Die Ärzte"
] | [
"Hagen Liebing",
"member of",
"Die Ärzte"
] | [
"Hagen Liebing",
"unmarried partner",
"Anja Caspary"
] | Q32645__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 Bela B, the German musician, and someone who is the unmarried(...TRUNCATED) | Bela B | Anja Caspary | unmarried partner | "Query: What are different ways of connecting Bela B, the German musician, and someone who is the un(...TRUNCATED) | "<think>Let me think about this carefully. I need to find connections between Bela B (the German mus(...TRUNCATED) | [
{
"completion_tokens": 28790,
"prompt_tokens": 868,
"total_tokens": 29658
}
] | ["<answer>\n{\n \"1\": [\n [\"Bela B\", \"romantic partner\", \"Cosma Shiva Hagen\"],\n [\"Co(...TRUNCATED) | ["Query: What are different ways of connecting Bela B, the German musician, and someone who is the u(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n [\"Bela B\", \"romantic partner\", \"Cosma Shiva Hagen\"],\n [\"Co(...TRUNCATED) | [["Bela B","member of","Die Ärzte"],["Hagen Liebing","member of","Die Ärzte"],["Hagen Liebing","un(...TRUNCATED) | "[[[[\"bela b\", \"romantic partner\", \"cosma shiva hagen\"], [\"cosma shiva hagen\", \"daughter of(...TRUNCATED) | [
null
] | [] | "[[[\"bela b\", \"romantic partner\", \"cosma shiva hagen\"], [\"cosma shiva hagen\", \"daughter of\(...TRUNCATED) | [
0,
0,
0,
0,
1,
0,
0,
0,
1,
0,
0,
0,
0,
0,
0
] | ["{\n \"explanation\": \"The first triple links the German musician Bela B with Cosma Shiva Hagen a(...TRUNCATED) | [[1.0,1.0,1.0,0.0],[1.0,1.0,0.0,0.0],[1.0,1.0,1.0,0.0],[1.0,1.0,0.0,0.0],[1.0,1.0,1.0,1.0],[1.0,1.0,(...TRUNCATED) | [[5,5,4,5],[5,4,5,5],[1,2,4,5],[1,5,5,5],[5,4,4,5],[3,3,5,5],[2,2,5],[2,2,5],[1,1,5],[4,5],[4,3,5],[(...TRUNCATED) | [
4,
4,
1,
1,
4,
3,
2,
2,
1,
4,
3,
4,
2,
5,
3
] | ["[\n {\n \"explanation\": \"Class A (subjects that could be a romantic partner of Cosma Shiva H(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.533333 | 15 |
7 | [
"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 | "Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub(...TRUNCATED) | "<think>Let me analyze the query. I need to find connections between:\n1. Nicolas Chopin - the fathe(...TRUNCATED) | [
{
"completion_tokens": 47765,
"prompt_tokens": 865,
"total_tokens": 48630
}
] | ["<answer>\n{\n \"1\": [\n [\"Nicolas Chopin\", \"spouse\", \"Justyna Krzyżanowska\"],\n [\"(...TRUNCATED) | ["Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jaku(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n [\"Nicolas Chopin\", \"spouse\", \"Justyna Krzyżanowska\"],\n [\"(...TRUNCATED) | [["Nicolas Chopin","child","Frédéric Chopin"],["Tekla Justyna Chopin","child","Frédéric Chopin"](...TRUNCATED) | "[[[[\"nicolas chopin\", \"spouse\", \"justyna krzy\\u017canowska\"], [\"justyna krzy\\u017canowska\(...TRUNCATED) | [
null
] | [] | "[[[\"nicolas chopin\", \"spouse\", \"justyna krzy\\u017canowska\"], [\"justyna krzy\\u017canowska\"(...TRUNCATED) | [1.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0(...TRUNCATED) | ["{\n \"explanation\": \"Both triples involve historically documented individuals. Nicolas Chopin w(...TRUNCATED) | [[1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,0.0],[1.0,1.0,1.0],[0.0,0.0,1.0],[0.0,0.0,1.0,0.0],[1.0,1.0,1.0],[(...TRUNCATED) | [[5,5],[5,5,5],[5,5,5],[5,5,5],[5,5,5],[5,5,5,5],[5,5,5],[4,4,5],[1,1,5],[4,4,5],[5,5,5,5],[5,5,5,5](...TRUNCATED) | [5.0,5.0,5.0,5.0,5.0,5.0,5.0,4.0,1.0,4.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,4.0,1.0,1.0,2.0,1.0,1.0,1.0,3.0(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subjects that have the predicate 'spouse' with object Just(...TRUNCATED) | [1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0(...TRUNCATED) | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.56 | 25 |
8 | [
"Q23505",
"P40",
"Q207"
] | [
"Q190628",
"P40",
"Q207"
] | [
"Q190628",
"P39",
"Q7166256"
] | [
"George H. W. Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"position held",
"First Lady of the United States"
] | Q207__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 George H. W. Bush, the 41st President of the United States, a(...TRUNCATED) | George H. W. Bush | First Lady of the United States | position held | "Query: What are different ways of connecting George H. W. Bush, the 41st President of the United St(...TRUNCATED) | "<think>Let me think about connections between George H. W. Bush (41st President) and people who hel(...TRUNCATED) | [
{
"completion_tokens": 9873,
"prompt_tokens": 876,
"total_tokens": 10749
}
] | ["<answer>\n{\n \"1\": [\n (\"George H. W. Bush\", \"spouse\", \"Barbara Bush\"),\n (\"Barbar(...TRUNCATED) | ["Query: What are different ways of connecting George H. W. Bush, the 41st President of the United S(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n (\"George H. W. Bush\", \"spouse\", \"Barbara Bush\"),\n (\"Barbar(...TRUNCATED) | [["George H. W. Bush","child","George W. Bush"],["Barbara Bush","child","George W. Bush"],["Barbara (...TRUNCATED) | "[[[[\"george h. w. bush\", \"spouse\", \"barbara bush\"], [\"barbara bush\", \"position held\", \"f(...TRUNCATED) | [
null
] | [] | "[[[\"george h. w. bush\", \"spouse\", \"barbara bush\"], [\"barbara bush\", \"position held\", \"fi(...TRUNCATED) | [1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0(...TRUNCATED) | ["{\n \"explanation\": \"Both triples refer to real, well‑known individuals and accurately descri(...TRUNCATED) | [[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],[1.0,1.0,1.0],[0.0,1.0],[1.0,1.0,(...TRUNCATED) | [[5,4],[5,5,4],[5,5,4],[5,5,4],[5,5,4],[5,5,4],[1,4],[1,5,4],[3,3,5,4],[5,5,4],[5,5,5,4],[1,4,5,4],[(...TRUNCATED) | [5.0,5.0,5.0,5.0,5.0,5.0,1.0,1.0,3.0,5.0,5.0,1.0,4.0,1.0,5.0,1.0,4.0,5.0,2.0,2.0,1.0,1.0,3.0,5.0,1.0(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subjects that could be the spouse of Barbara Bush): Barbar(...TRUNCATED) | [1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0(...TRUNCATED) | [
"",
"",
"",
"",
"",
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"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
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"",
"",
"",
"",
"",
"",
"",
"",
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"",
"",
""
] | 3.625 | 32 |
9 | [
"Q18037778",
"P2293",
"Q131755"
] | [
"Q18046338",
"P2293",
"Q131755"
] | [
"Q18046338",
"P5572",
"Q64386"
] | [
"INTS7",
"genetic association",
"bipolar disorder"
] | [
"MCTP1",
"genetic association",
"bipolar disorder"
] | [
"MCTP1",
"expressed in",
"gallbladder"
] | Q131755__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 INTS7, a protein involved in various cellular processes, and (...TRUNCATED) | INTS7 | gallbladder | expressed in | "Query: What are different ways of connecting INTS7, a protein involved in various cellular processe(...TRUNCATED) | "<think>Let me think about INTS7 and substances expressed in the gallbladder.\n\nINTS7 is a subunit (...TRUNCATED) | [
{
"completion_tokens": 18839,
"prompt_tokens": 865,
"total_tokens": 19704
}
] | ["<answer>\n{\n \"1\": [\n (\"INTS7\", \"subunit of\", \"Integrator complex\"),\n (\"Integrat(...TRUNCATED) | ["Query: What are different ways of connecting INTS7, a protein involved in various cellular process(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n (\"INTS7\", \"subunit of\", \"Integrator complex\"),\n (\"Integrat(...TRUNCATED) | [["INTS7","genetic association","bipolar disorder"],["MCTP1","genetic association","bipolar disorder(...TRUNCATED) | "[[[[\"ints7\", \"subunit of\", \"integrator complex\"], [\"integrator complex\", \"regulates expres(...TRUNCATED) | [
null
] | [] | "[[[\"ints7\", \"subunit of\", \"integrator complex\"], [\"integrator complex\", \"regulates express(...TRUNCATED) | [1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0(...TRUNCATED) | ["{\n \"explanation\": \"The first triple refers to INTS7, a known protein that is a subunit of the(...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) | [[4,3,1],[4,5,3,2],[4,4,3,1,1],[4,4,4,1,2],[4,4,3,1],[4,3,1],[4,4,4,3],[4,4,3,2],[4,4,3,1,1],[3,1,1](...TRUNCATED) | [3.0,3.0,1.0,1.0,3.0,3.0,4.0,3.0,1.0,1.0,3.0,3.0,3.0,3.0,1.0,1.0,3.0,3.0,1.0,3.0,3.0,1.0,3.0,3.0,1.0(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subject‑variation) asks for all subunits of the integrat(...TRUNCATED) | [1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0(...TRUNCATED) | ["","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",(...TRUNCATED) | 4 | 35 |
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