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 9 14 | keep_triple bool 1
class | query_prompt stringlengths 3.25k 3.31k | query stringlengths 90 178 | entity_a stringlengths 5 20 | entity_b stringlengths 7 40 | rel_b stringlengths 5 28 | prompt stringlengths 3.55k 3.67k | index int64 580 599 | raw_responses stringlengths 1.34k 3.61k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q520296",
"P166",
"Q935843"
] | [
"Q273080",
"P166",
"Q935843"
] | [
"Q273080",
"P551",
"Q7148237"
] | [
"John Prine",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Patsy Cline",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Patsy Cline",
"residence",
"Patsy Cline House"
] | 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 John Prine, the American singer-songwriter, and someone who has a residence known as the Patsy Cline House? | John Prine | Patsy Cline House | residence | Query: What are different ways of connecting John Prine, the American singer-songwriter, and someone who has a residence known as the Patsy Cline House?
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, t... | 580 | {"final_response": "<answer>\n{\n \"1\": [\n [\"John Prine\", \"collaborated with\", \"Willie Nelson\"],\n [\"Willie Nelson\", \"wrote\", \"Crazy (Willie Nelson song)\"],\n [\"Patsy Cline\", \"recorded\", \"Crazy (Willie Nelson song)\"],\n [\"Patsy Cline\", \"residence\", \"Patsy Cline House\"]\n ],\n \"... |
[
"Q447286",
"P54",
"Q157376"
] | [
"Q3563535",
"P54",
"Q157376"
] | [
"Q3563535",
"P69",
"Q5061191"
] | [
"Jamal Crawford",
"member of sports team",
"Golden State Warriors"
] | [
"Jim Nolan",
"member of sports team",
"Golden State Warriors"
] | [
"Jim Nolan",
"educated at",
"Central High School"
] | Q157376__P54 | 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 Jamal Crawford, the professional basketball player, and someone who was educated at Central High School? | Jamal Crawford | Central High School | educated at | Query: What are different ways of connecting Jamal Crawford, the professional basketball player, and someone who was educated at Central High School?
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... | 581 | {"final_response": "```json\n{\n \"1\": [\n [\"Jamal Crawford\", \"teammate of\", \"Joe Johnson\"],\n [\"Joe Johnson\", \"educated at\", \"Central High School\"]\n ],\n \"2\": [\n [\"Jamal Crawford\", \"played for\", \"Minnesota Timberwolves\"],\n [\"Minnesota Timberwolves\", \"played for by\", \"D'Angel... |
[
"Q2960808",
"P54",
"Q204862"
] | [
"Q7490976",
"P54",
"Q204862"
] | [
"Q7490976",
"P69",
"Q10749664"
] | [
"Charley Young",
"member of sports team",
"Dallas Cowboys"
] | [
"Shaun Smith",
"member of sports team",
"Dallas Cowboys"
] | [
"Shaun Smith",
"educated at",
"Midwood High School"
] | Q204862__P54 | 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 Charley Young and someone who was educated at Midwood High School? | Charley Young | Midwood High School | educated at | Query: What are different ways of connecting Charley Young and someone who was educated at Midwood High School?
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 continuous chain that begi... | 582 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Charley Young\",\n \"played for\",\n \"Dallas Cowboys\"\n ],\n [\n \"Dallas Cowboys\",\n \"plays in\",\n \"NFL\"\n ],\n [\n \"NFL\",\n \"broadcast on\",\n \"CBS\"\n ],\n [\n \"CBS\",\n \"aired... |
[
"Q304030",
"P161",
"Q4025864"
] | [
"Q304030",
"P161",
"Q716274"
] | [
"Q716274",
"P19",
"Q3141"
] | [
"Eat Pray Love",
"cast member",
"Ashlie Atkinson"
] | [
"Eat Pray Love",
"cast member",
"David Lyons"
] | [
"David Lyons",
"place of birth",
"Melbourne"
] | Q304030__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 Ashlie Atkinson, an actress, and someone who was born in Melbourne? | Ashlie Atkinson | Melbourne | place of birth | Query: What are different ways of connecting Ashlie Atkinson, an actress, and someone who was born in Melbourne?
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 continuous chain that beg... | 583 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Ashlie Atkinson\", \"acted in\", \"BlacKkKlansman\"],\n [\"BlacKkKlansman\", \"cast member\", \"Adam Driver\"],\n [\"Adam Driver\", \"acted in\", \"Girls\"],\n [\"Girls\", \"cast member\", \"Ben Mendelsohn\"],\n [\"Ben Mendelsohn\", \"place of birth\", \"M... |
[
"Q32450",
"P161",
"Q287835"
] | [
"Q32450",
"P161",
"Q289252"
] | [
"Q289252",
"P27",
"Q145"
] | [
"Pretty Little Liars",
"cast member",
"Andrea Parker"
] | [
"Pretty Little Liars",
"cast member",
"Gregg Sulkin"
] | [
"Gregg Sulkin",
"country of citizenship",
"United Kingdom"
] | Q32450__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 Andrea Parker, the American actress, and someone who holds citizenship in the United Kingdom? | Andrea Parker | United Kingdom | country of citizenship | Query: What are different ways of connecting Andrea Parker, the American actress, and someone who holds citizenship in the United Kingdom?
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... | 584 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Andrea Parker\", \"cast member of\", \"Pretty Little Liars\"],\n [\"Pretty Little Liars\", \"cast member\", \"Julian Morris\"],\n [\"Julian Morris\", \"country of citizenship\", \"United Kingdom\"]\n ],\n \"2\": [\n [\"Andrea Parker\", \"cast member of\", \... |
[
"Q18042008",
"P2293",
"Q11085"
] | [
"Q18033776",
"P2293",
"Q11085"
] | [
"Q18033776",
"P5572",
"Q66592424"
] | [
"VPS35",
"genetic association",
"Parkinson's disease"
] | [
"SEMA5A",
"genetic association",
"Parkinson's disease"
] | [
"SEMA5A",
"expressed in",
"stromal cell of endometrium"
] | Q11085__P2293 | 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 VPS35, a protein associated with neurodegenerative diseases, and a substance that is expressed in the stromal cells of the endometrium? | VPS35 | stromal cell of endometrium | expressed in | Query: What are different ways of connecting VPS35, a protein associated with neurodegenerative diseases, and a substance that is expressed in the stromal cells of the endometrium?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tr... | 585 | {"final_response": "<answer>\n{\n \"1\": [\n [\"VPS35\", \"interacts with\", \"WLS\"],\n [\"WLS\", \"transports\", \"WNT4\"],\n [\"WNT4\", \"expressed in\", \"stromal cell of endometrium\"]\n ],\n \"2\": [\n [\"VPS35\", \"interacts with\", \"IGF2R\"],\n [\"IGF2R\", \"binds\", \"IGF2\"],\n [\"IGF2\"... |
[
"Q9582",
"P39",
"Q11696"
] | [
"Q1124",
"P39",
"Q11696"
] | [
"Q1124",
"P3602",
"Q659166"
] | [
"Gerald Ford",
"position held",
"President of the United States"
] | [
"Bill Clinton",
"position held",
"President of the United States"
] | [
"Bill Clinton",
"candidacy in election",
"1996 United States presidential election"
] | Q11696__P39 | 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 Gerald Ford, the 38th President of the United States, and someone who had a candidacy in the 1996 United States presidential election? | Gerald Ford | 1996 United States presidential election | candidacy in election | Query: What are different ways of connecting Gerald Ford, the 38th President of the United States, and someone who had a candidacy in the 1996 United States presidential election?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tri... | 586 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\n \"Gerald Ford\",\n \"running mate\",\n \"Bob Dole\"\n ],\n [\n \"Bob Dole\",\n \"candidacy in election\",\n \"1996 United States presidential election\"\n ]\n ],\n \"2\": [\n [\n \"Gerald Ford\",\n \"awar... |
[
"Q106494",
"P166",
"Q38104"
] | [
"Q190756",
"P166",
"Q38104"
] | [
"Q190756",
"P512",
"Q752297"
] | [
"Konstantin Novoselov",
"award received",
"Nobel Prize in Physics"
] | [
"William Daniel Phillips",
"award received",
"Nobel Prize in Physics"
] | [
"William Daniel Phillips",
"academic degree",
"Doctor of Philosophy"
] | Q38104__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 Konstantin Novoselov, the physicist, and someone who holds a Doctor of Philosophy degree? | Konstantin Novoselov | Doctor of Philosophy | academic degree | Query: What are different ways of connecting Konstantin Novoselov, the physicist, and someone who holds a Doctor of Philosophy degree?
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 con... | 587 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Konstantin Novoselov\",\n \"academic degree\",\n \"Doctor of Philosophy\"\n ]\n ],\n \"2\": [\n [\n \"Konstantin Novoselov\",\n \"co-winner\",\n \"Andre Geim\"\n ],\n [\n \"Andre Geim\",\n \"academic degree\",\n... |
[
"Q208881",
"P166",
"Q935843"
] | [
"Q103774",
"P166",
"Q935843"
] | [
"Q103774",
"P7084",
"Q24989734"
] | [
"Bo Diddley",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Ravi Shankar",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Ravi Shankar",
"related category",
"Category:Films scored by Ravi Shankar"
] | 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 Bo Diddley, the influential musician, and someone who has scored films in a category related to Ravi Shankar? | Bo Diddley | Category:Films scored by Ravi Shankar | related category | Query: What are different ways of connecting Bo Diddley, the influential musician, and someone who has scored films in a category related to Ravi Shankar?
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,... | 588 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Bo Diddley\",\n \"won\",\n \"Grammy Lifetime Achievement Award\"\n ],\n [\n \"Grammy Lifetime Achievement Award\",\n \"awarded to\",\n \"Ravi Shankar\"\n ],\n [\n \"Ravi Shankar\",\n \"scored\",\n \"Apur Sansa... |
[
"Q6244087",
"P57",
"Q10516679"
] | [
"Q390558",
"P57",
"Q10516679"
] | [
"Q10516679",
"P40",
"Q5603489"
] | [
"Stellan Windrow",
"director",
"Half Way to Heaven"
] | [
"Rune Carlsten",
"director",
"Half Way to Heaven"
] | [
"Half Way to Heaven",
"child",
"Rolf Carlsten"
] | Q10516679__P57 | 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 Stellan Windrow and someone who is the parent of Rolf Carlsten? | Stellan Windrow | Rolf Carlsten | child | Query: What are different ways of connecting Stellan Windrow and someone who is the parent of Rolf Carlsten?
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 continuous chain that begins ... | 589 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Stellan Windrow\", \"has occupation\", \"Actor\"],\n [\"Actor\", \"is occupation of\", \"Rune Carlsten\"],\n [\"Rune Carlsten\", \"child\", \"Rolf Carlsten\"]\n ],\n \"2\": [\n [\"Stellan Windrow\", \"has occupation\", \"Actor\"],\n [\"Actor\", \"is occu... |
[
"Q235845",
"P40",
"Q13909"
] | [
"Q167520",
"P40",
"Q13909"
] | [
"Q167520",
"P25",
"Q96242049"
] | [
"Marcheline Bertrand",
"child",
"Angelina Jolie"
] | [
"Jon Voight",
"child",
"Angelina Jolie"
] | [
"Jon Voight",
"mother",
"Barbara Kamp"
] | Q13909__P40 | 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 Marcheline Bertrand, the American actress, and someone who is the mother of Barbara Kamp? | Marcheline Bertrand | Barbara Kamp | mother | Query: What are different ways of connecting Marcheline Bertrand, the American actress, and someone who is the mother of Barbara Kamp?
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 con... | 590 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Marcheline Bertrand\",\n \"spouse\",\n \"Jon Voight\"\n ],\n [\n \"Jon Voight\",\n \"mother\",\n \"Barbara Kamp\"\n ]\n ],\n \"2\": [\n [\n \"Marcheline Bertrand\",\n \"child\",\n \"Angelina Jolie\"\n ],... |
[
"Q35286",
"P39",
"Q11696"
] | [
"Q9640",
"P39",
"Q11696"
] | [
"Q9640",
"P19",
"Q975048"
] | [
"Warren G. Harding",
"position held",
"President of the United States"
] | [
"Lyndon B. Johnson",
"position held",
"President of the United States"
] | [
"Lyndon B. Johnson",
"place of birth",
"Stonewall"
] | Q11696__P39 | 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 Warren G. Harding, the 29th President of the United States, and someone who was born in a place called Stonewall? | Warren G. Harding | Stonewall | place of birth | Query: What are different ways of connecting Warren G. Harding, the 29th President of the United States, and someone who was born in a place called Stonewall?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relations... | 591 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Warren G. Harding\", \"held position\", \"President of the United States\"],\n [\"President of the United States\", \"position held by\", \"Lyndon B. Johnson\"],\n [\"Lyndon B. Johnson\", \"place of birth\", \"Stonewall\"]\n ],\n \"2\": [\n [\"Warren G. Har... |
[
"Q106867744",
"P40",
"Q997"
] | [
"Q4409476",
"P40",
"Q997"
] | [
"Q4409476",
"P22",
"Q15081217"
] | [
"Yekaterina Sakharova",
"child",
"Andrei Sakharov"
] | [
"Dmitri Ivanovich Sakharov",
"child",
"Andrei Sakharov"
] | [
"Dmitri Ivanovich Sakharov",
"father",
"Ivan Nikolaevich Sakharov"
] | Q997__P40 | 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 Yekaterina Sakharova and someone who is the father of Dmitri Ivanovich Sakharov? | Yekaterina Sakharova | Ivan Nikolaevich Sakharov | father | Query: What are different ways of connecting Yekaterina Sakharova and someone who is the father of Dmitri Ivanovich Sakharov?
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 continuous c... | 592 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Yekaterina Sakharova\", \"spouse\", \"Dmitri Ivanovich Sakharov\"],\n [\"Dmitri Ivanovich Sakharov\", \"father\", \"Ivan Nikolaevich Sakharov\"]\n ],\n \"2\": [\n [\"Yekaterina Sakharova\", \"mother\", \"Andrei Sakharov\"],\n [\"Andrei Sakharov\", \"father\... |
[
"Q410291",
"P2175",
"Q41861"
] | [
"Q4890934",
"P2175",
"Q41861"
] | [
"Q4890934",
"P769",
"Q412496"
] | [
"verapamil",
"medical condition treated",
"arterial hypertension"
] | [
"bepridil",
"medical condition treated",
"arterial hypertension"
] | [
"bepridil",
"significant drug interaction",
"quinidine"
] | Q41861__P2175 | 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 verapamil, a medication used to treat high blood pressure, and a substance that has a significant drug interaction with quinidine? | verapamil | quinidine | significant drug interaction | Query: What are different ways of connecting verapamil, a medication used to treat high blood pressure, and a substance that has a significant drug interaction with quinidine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples... | 593 | {"final_response": "<answer>\n{\n \"1\": [\n [\"verapamil\", \"significant drug interaction\", \"quinidine\"]\n ],\n \"2\": [\n [\"verapamil\", \"interacts with\", \"digoxin\"],\n [\"digoxin\", \"significant drug interaction\", \"quinidine\"]\n ],\n \"3\": [\n [\"verapamil\", \"interacts with\", \"amio... |
[
"Q544387",
"P166",
"Q935843"
] | [
"Q448235",
"P166",
"Q935843"
] | [
"Q448235",
"P106",
"Q386854"
] | [
"Ray Charles",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Roy Haynes",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Roy Haynes",
"occupation",
"drummer"
] | 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 Ray Charles, the legendary musician, and someone who is known for their occupation as a drummer? | Ray Charles | drummer | occupation | Query: What are different ways of connecting Ray Charles, the legendary musician, and someone who is known for their occupation as a drummer?
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) formin... | 594 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Ray Charles\", \"collaborated with\", \"Steve Gadd\"],\n [\"Steve Gadd\", \"occupation\", \"drummer\"]\n ],\n \"2\": [\n [\"Ray Charles\", \"collaborated with\", \"Jeff Porcaro\"],\n [\"Jeff Porcaro\", \"occupation\", \"drummer\"]\n ],\n \"3\": [\n [\"... |
[
"Q312724",
"P39",
"Q4166474"
] | [
"Q563577",
"P39",
"Q4166474"
] | [
"Q563577",
"P463",
"Q463303"
] | [
"Robert Zoellick",
"position held",
"President of the World Bank Group"
] | [
"John J. McCloy",
"position held",
"President of the World Bank Group"
] | [
"John J. McCloy",
"member of",
"American Academy of Arts and Sciences"
] | Q4166474__P39 | 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 Robert Zoellick, an influential figure in international relations, and someone who is a member of the American Academy of Arts and Sciences? | Robert Zoellick | American Academy of Arts and Sciences | member of | Query: What are different ways of connecting Robert Zoellick, an influential figure in international relations, and someone who is a member of the American Academy of Arts and Sciences?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factu... | 595 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Robert Zoellick\",\n \"deputy to\",\n \"Condoleezza Rice\"\n ],\n [\n \"Condoleezza Rice\",\n \"member of\",\n \"American Academy of Arts and Sciences\"\n ]\n ],\n \"2\": [\n [\n \"Robert Zoellick\",\n \"succeed... |
[
"Q104373665",
"P40",
"Q2071"
] | [
"Q42430742",
"P40",
"Q2071"
] | [
"Q42430742",
"P19",
"Q285655"
] | [
"Sunny Lynch",
"child",
"David Lynch"
] | [
"Donald Lynch",
"child",
"David Lynch"
] | [
"Donald Lynch",
"place of birth",
"Fort Benton"
] | Q2071__P40 | 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 Sunny Lynch and someone who was born in Fort Benton? | Sunny Lynch | Fort Benton | place of birth | Query: What are different ways of connecting Sunny Lynch and someone who was born in Fort Benton?
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 continuous chain that begins with one en... | 596 | {"final_response": "```json\n{\n \"1\": [\n [\"Sunny Lynch\", \"spouse\", \"Donald Walton Lynch\"],\n [\"Donald Walton Lynch\", \"place of birth\", \"Fort Benton\"]\n ],\n \"2\": [\n [\"Sunny Lynch\", \"child\", \"David Lynch\"],\n [\"David Lynch\", \"father\", \"Donald Walton Lynch\"],\n [\"Donald Wa... |
[
"Q271023",
"P39",
"Q11699"
] | [
"Q11812",
"P39",
"Q11699"
] | [
"Q11812",
"P101",
"Q12271"
] | [
"Charles Curtis",
"position held",
"Vice President of the United States"
] | [
"Thomas Jefferson",
"position held",
"Vice President of the United States"
] | [
"Thomas Jefferson",
"field of work",
"architecture"
] | Q11699__P39 | 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 Charles Curtis, the American politician, and someone who is known for their work in the field of architecture? | Charles Curtis | architecture | field of work | Query: What are different ways of connecting Charles Curtis, the American politician, and someone who is known for their work in the field of architecture?
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... | 597 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Charles Curtis\", \"served in\", \"United States Senate\"],\n [\"United States Senate\", \"meets in\", \"United States Capitol\"],\n [\"United States Capitol\", \"designed by\", \"William Thornton\"],\n [\"William Thornton\", \"field of work\", \"architecture... |
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Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
gemini-3.1-pro-preview - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
120 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
original
Generation Parameters
- Temperature:
0.7 - Max Tokens:
16384 - Number of Runs:
1 - Chunk Size:
Entire dataset - Effort Level:
medium
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
False - No Curator:
False - Index Filter:
None (all samples) - Start Index:
580 - End Index:
600
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s580__e600__original__1__medium__0.7__16384__gemini-3_1-pro-preview.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("s580_e600_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 08:20:47 using the inference pipeline with the above configuration.
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