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 11 16 | keep_triple bool 1
class | query_prompt stringlengths 3.26k 3.32k | query stringlengths 99 178 | entity_a stringlengths 4 18 | entity_b stringlengths 7 51 | rel_b stringlengths 6 22 | prompt stringlengths 3.56k 3.69k | index int64 20 39 | raw_responses stringlengths 1.27k 5.03k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q484048",
"P58",
"Q217324"
] | [
"Q484048",
"P58",
"Q1915951"
] | [
"Q1915951",
"P1411",
"Q1377745"
] | [
"Amélie",
"screenwriter",
"Jean-Pierre Jeunet"
] | [
"Amélie",
"screenwriter",
"Guillaume Laurant"
] | [
"Guillaume Laurant",
"nominated for",
"European Film Award for Best Animated Feature Film"
] | Q484048__P58 | 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 Jean-Pierre Jeunet, the French film director, and someone who was nominated for the European Film Award for Best Animated Feature Film? | Jean-Pierre Jeunet | European Film Award for Best Animated Feature Film | nominated for | Query: What are different ways of connecting Jean-Pierre Jeunet, the French film director, and someone who was nominated for the European Film Award for Best Animated Feature Film?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tr... | 20 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Jean-Pierre Jeunet\", \"directed\", \"Alien Resurrection\"],\n [\"Alien Resurrection\", \"cast member\", \"Winona Ryder\"],\n [\"Winona Ryder\", \"cast member\", \"The Private Lives of Pippa Lee\"],\n [\"The Private Lives of Pippa Lee\", \"cast member\", \"Ro... |
[
"Q46551",
"P58",
"Q25191"
] | [
"Q46551",
"P58",
"Q372788"
] | [
"Q372788",
"P26",
"Q27663202"
] | [
"The Prestige",
"screenwriter",
"Christopher Nolan"
] | [
"The Prestige",
"screenwriter",
"Jonathan Nolan"
] | [
"Jonathan Nolan",
"spouse",
"Lisa Joy"
] | Q46551__P58 | 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 Christopher Nolan, the filmmaker, and someone who is married to Lisa Joy? | Christopher Nolan | Lisa Joy | spouse | Query: What are different ways of connecting Christopher Nolan, the filmmaker, and someone who is married to Lisa Joy?
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 th... | 21 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Christopher Nolan\", \"brother\", \"Jonathan Nolan\"],\n [\"Jonathan Nolan\", \"spouse\", \"Lisa Joy\"]\n ],\n \"2\": [\n [\"Christopher Nolan\", \"director\", \"The Dark Knight\"],\n [\"The Dark Knight\", \"screenwriter\", \"Jonathan Nolan\"],\n [\"Jona... |
[
"Q381845",
"P39",
"Q62070236"
] | [
"Q16196017",
"P39",
"Q62070236"
] | [
"Q16196017",
"P69",
"Q1126189"
] | [
"Lee Jong-wook",
"position held",
"Director-General of the World Health Organization"
] | [
"Tedros Adhanom Ghebreyesus",
"position held",
"Director-General of the World Health Organization"
] | [
"Tedros Adhanom Ghebreyesus",
"educated at",
"London School of Hygiene & Tropical Medicine"
] | Q62070236__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 Lee Jong-wook, a prominent figure in global health, and someone who was educated at the London School of Hygiene & Tropical Medicine? | Lee Jong-wook | London School of Hygiene & Tropical Medicine | educated at | Query: What are different ways of connecting Lee Jong-wook, a prominent figure in global health, and someone who was educated at the London School of Hygiene & Tropical Medicine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual trip... | 22 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Lee Jong-wook\",\n \"director general of\",\n \"World Health Organization\"\n ],\n [\n \"Tedros Adhanom Ghebreyesus\",\n \"director general of\",\n \"World Health Organization\"\n ],\n [\n \"Tedros Adhanom Ghebreyesus\"... |
[
"Q32488",
"P161",
"Q264306"
] | [
"Q32488",
"P161",
"Q434825"
] | [
"Q434825",
"P19",
"Q12439"
] | [
"2 Broke Girls",
"cast member",
"Beth Behrs"
] | [
"2 Broke Girls",
"cast member",
"Mary Scheer"
] | [
"Mary Scheer",
"place of birth",
"Detroit"
] | Q32488__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 Beth Behrs, the actress, and someone who was born in Detroit? | Beth Behrs | Detroit | place of birth | Query: What are different ways of connecting Beth Behrs, the actress, and someone who was born in Detroit?
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 wi... | 23 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Beth Behrs\", \"voice actor\", \"Monsters University\"],\n [\"Monsters University\", \"voice actor\", \"Ken Jeong\"],\n [\"Ken Jeong\", \"place of birth\", \"Detroit\"]\n ],\n \"2\": [\n [\"Beth Behrs\", \"educated at\", \"UCLA School of Theater, Film and T... |
[
"Q17035754",
"P54",
"Q219602"
] | [
"Q3128846",
"P54",
"Q219602"
] | [
"Q3128846",
"P69",
"Q613736"
] | [
"Trey Gilleo",
"member of sports team",
"New York Jets"
] | [
"Hayden Smith",
"member of sports team",
"New York Jets"
] | [
"Hayden Smith",
"educated at",
"Metropolitan State University of Denver"
] | Q219602__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 Trey Gilleo and someone who was educated at Metropolitan State University of Denver? | Trey Gilleo | Metropolitan State University of Denver | educated at | Query: What are different ways of connecting Trey Gilleo and someone who was educated at Metropolitan State University of Denver?
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 continuo... | 24 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Trey Gilleo\",\n \"played for\",\n \"Tampa Bay Buccaneers\"\n ],\n [\n \"Tampa Bay Buccaneers\",\n \"employed\",\n \"Tom Brady\"\n ],\n [\n \"Tom Brady\",\n \"acted in\",\n \"Ted 2\"\n ],\n [\n \"Te... |
[
"Q425137",
"P2175",
"Q8277"
] | [
"Q73972",
"P2175",
"Q8277"
] | [
"Q73972",
"P2868",
"Q35456"
] | [
"fingolimod",
"medical condition treated",
"multiple sclerosis"
] | [
"hydroxocobalamin",
"medical condition treated",
"multiple sclerosis"
] | [
"hydroxocobalamin",
"subject has role",
"essential medicine"
] | Q8277__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 fingolimod, a medication used to treat multiple sclerosis, and a substance that is considered an essential medicine and has a specific role? | fingolimod | essential medicine | subject has role | Query: What are different ways of connecting fingolimod, a medication used to treat multiple sclerosis, and a substance that is considered an essential medicine and has a specific role?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factu... | 25 | {"final_response": "<answer>\n{\n \"1\": [\n [\"fingolimod\", \"medical condition treated\", \"multiple sclerosis\"],\n [\"azathioprine\", \"medical condition treated\", \"multiple sclerosis\"],\n [\"azathioprine\", \"subject has role\", \"essential medicine\"]\n ],\n \"2\": [\n [\"fingolimod\", \"has si... |
[
"Q155794",
"P166",
"Q38104"
] | [
"Q156286",
"P166",
"Q38104"
] | [
"Q156286",
"P463",
"Q40358"
] | [
"Hans Bethe",
"award received",
"Nobel Prize in Physics"
] | [
"Russell Alan Hulse",
"award received",
"Nobel Prize in Physics"
] | [
"Russell Alan Hulse",
"member of",
"American Association for the Advancement of Science"
] | 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 Hans Bethe, the renowned physicist, and someone who is a member of the American Association for the Advancement of Science? | Hans Bethe | American Association for the Advancement of Science | member of | Query: What are different ways of connecting Hans Bethe, the renowned physicist, and someone who is a member of the American Association for the Advancement of Science?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head,... | 26 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Hans Bethe\",\n \"employed by\",\n \"Cornell University\"\n ],\n [\n \"Cornell University\",\n \"employed\",\n \"Carl Sagan\"\n ],\n [\n \"Carl Sagan\",\n \"member of\",\n \"American Association for the Advanc... |
[
"Q312648",
"P54",
"Q157376"
] | [
"Q63119820",
"P54",
"Q157376"
] | [
"Q63119820",
"P69",
"Q49118"
] | [
"Jason Terry",
"member of sports team",
"Golden State Warriors"
] | [
"Ky Bowman",
"member of sports team",
"Golden State Warriors"
] | [
"Ky Bowman",
"educated at",
"Boston College"
] | 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 Jason Terry, the former professional basketball player, and someone who was educated at Boston College? | Jason Terry | Boston College | educated at | Query: What are different ways of connecting Jason Terry, the former professional basketball player, and someone who was educated at Boston College?
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)... | 27 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Jason Terry\", \"played for\", \"Milwaukee Bucks\"],\n [\"Milwaukee Bucks\", \"employed\", \"Jared Dudley\"],\n [\"Jared Dudley\", \"educated at\", \"Boston College\"]\n ],\n \"2\": [\n [\"Jason Terry\", \"played for\", \"Brooklyn Nets\"],\n [\"... |
[
"Q101005247",
"P162",
"Q82090205"
] | [
"Q101005247",
"P162",
"Q87141"
] | [
"Q87141",
"P3373",
"Q28064800"
] | [
"Fox in a Hole",
"producer",
"Karin C. Berger"
] | [
"Fox in a Hole",
"producer",
"Arash T. Riahi"
] | [
"Arash T. Riahi",
"sibling",
"Arman T. Riahi"
] | Q101005247__P162 | 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 Karin C. Berger and someone who is the sibling of Arash T. Riahi? | Karin C. Berger | Arman T. Riahi | sibling | Query: What are different ways of connecting Karin C. Berger and someone who is the sibling of Arash T. Riahi?
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 begin... | 28 | {"final_response": "<answer>\n{\n \"1\": [\n \"(\\\"Karin C. Berger\\\", \\\"works at\\\", \\\"Golden Girls Filmproduktion\\\")\",\n \"(\\\"Golden Girls Filmproduktion\\\", \\\"founded by\\\", \\\"Arash T. Riahi\\\")\",\n \"(\\\"Arash T. Riahi\\\", \\\"sibling\\\", \\\"Arman T. Riahi\\\")\"\n ],\n \"2\": [\... |
[
"Q32450",
"P161",
"Q5343929"
] | [
"Q32450",
"P161",
"Q267243"
] | [
"Q267243",
"P69",
"Q389336"
] | [
"Pretty Little Liars",
"cast member",
"Edward Kerr"
] | [
"Pretty Little Liars",
"cast member",
"Melanie Mayron"
] | [
"Melanie Mayron",
"educated at",
"American Academy of Dramatic Arts"
] | 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 Edward Kerr and someone who was educated at the American Academy of Dramatic Arts? | Edward Kerr | American Academy of Dramatic Arts | educated at | Query: What are different ways of connecting Edward Kerr and someone who was educated at the American Academy of Dramatic Arts?
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... | 29 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Edward Kerr\",\n \"acted in\",\n \"Above Suspicion\"\n ],\n [\n \"Above Suspicion\",\n \"cast member\",\n \"Kim Cattrall\"\n ],\n [\n \"Kim Cattrall\",\n \"educated at\",\n \"American Academy of Dramatic Arts\... |
[
"Q132689",
"P161",
"Q93467"
] | [
"Q132689",
"P161",
"Q3103904"
] | [
"Q3103904",
"P27",
"Q145"
] | [
"Casablanca",
"cast member",
"Paul Henreid"
] | [
"Casablanca",
"cast member",
"Gerald Oliver Smith"
] | [
"Gerald Oliver Smith",
"country of citizenship",
"United Kingdom"
] | Q132689__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 Paul Henreid, the Austrian-American actor, and someone who holds citizenship in the United Kingdom? | Paul Henreid | United Kingdom | country of citizenship | Query: What are different ways of connecting Paul Henreid, the Austrian-American actor, 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) for... | 30 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Paul Henreid\",\n \"cast member of\",\n \"Casablanca\"\n ],\n [\n \"Casablanca\",\n \"has cast member\",\n \"Claude Rains\"\n ],\n [\n \"Claude Rains\",\n \"country of citizenship\",\n \"United Kingdom\"\n ... |
[
"Q189267",
"P161",
"Q374065"
] | [
"Q189267",
"P161",
"Q498820"
] | [
"Q498820",
"P54",
"Q3418614"
] | [
"Two and a Half Men",
"cast member",
"Patton Oswalt"
] | [
"Two and a Half Men",
"cast member",
"John Amos"
] | [
"John Amos",
"member of sports team",
"Colorado State Rams"
] | Q189267__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 Patton Oswalt, the comedian and actor, and someone who is a member of the Colorado State Rams sports team? | Patton Oswalt | Colorado State Rams | member of sports team | Query: What are different ways of connecting Patton Oswalt, the comedian and actor, and someone who is a member of the Colorado State Rams sports team?
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, ta... | 31 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Patton Oswalt\", \"acted in\", \"Two and a Half Men\"],\n [\"John Amos\", \"acted in\", \"Two and a Half Men\"],\n [\"John Amos\", \"member of sports team\", \"Colorado State Rams\"]\n ],\n \"2\": [\n [\"Patton Oswalt\", \"acted in\", \"Brooklyn Nine-Nine\"... |
[
"Q17927578",
"P2293",
"Q131755"
] | [
"Q18045774",
"P2293",
"Q131755"
] | [
"Q18045774",
"P5572",
"Q975459"
] | [
"FBLN1",
"genetic association",
"bipolar disorder"
] | [
"FBXL17",
"genetic association",
"bipolar disorder"
] | [
"FBXL17",
"expressed in",
"vastus lateralis muscle"
] | Q131755__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 FBLN1, a protein, and a substance that is expressed in the vastus lateralis muscle? | FBLN1 | vastus lateralis muscle | expressed in | Query: What are different ways of connecting FBLN1, a protein, and a substance that is expressed in the vastus lateralis muscle?
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 continuou... | 32 | {"final_response": "<answer>\n{\n \"1\": [\n [\"FBLN1\", \"expressed in\", \"vastus lateralis muscle\"]\n ],\n \"2\": [\n [\"FBLN1\", \"interacts with\", \"FN1\"],\n [\"FN1\", \"expressed in\", \"vastus lateralis muscle\"]\n ],\n \"3\": [\n [\"FBLN1\", \"interacts with\", \"FBN1\"],\n [\"FBN1\", \"e... |
[
"Q192712",
"P166",
"Q38104"
] | [
"Q205954",
"P166",
"Q38104"
] | [
"Q205954",
"P551",
"Q192517"
] | [
"Kai Siegbahn",
"award received",
"Nobel Prize in Physics"
] | [
"Eric Allin Cornell",
"award received",
"Nobel Prize in Physics"
] | [
"Eric Allin Cornell",
"residence",
"Boulder"
] | 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 Kai Siegbahn, the physicist, and someone who resides in Boulder? | Kai Siegbahn | Boulder | residence | Query: What are different ways of connecting Kai Siegbahn, the physicist, and someone who resides in Boulder?
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... | 33 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Kai Siegbahn\",\n \"won\",\n \"Nobel Prize in Physics\"\n ],\n [\n \"Nobel Prize in Physics\",\n \"awarded to\",\n \"David J. Wineland\"\n ],\n [\n \"David J. Wineland\",\n \"residence\",\n \"Boulder\"\n ]... |
[
"Q101094804",
"P58",
"Q2542089"
] | [
"Q101094804",
"P58",
"Q616756"
] | [
"Q616756",
"P106",
"Q3282637"
] | [
"Vain neljä kertaa",
"screenwriter",
"Walentin Chorell"
] | [
"Vain neljä kertaa",
"screenwriter",
"Aito Mäkinen"
] | [
"Aito Mäkinen",
"occupation",
"film producer"
] | Q101094804__P58 | 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 Walentin Chorell, a notable figure in literature, and someone who works as a film producer? | Walentin Chorell | film producer | occupation | Query: What are different ways of connecting Walentin Chorell, a notable figure in literature, and someone who works as a film producer?
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... | 34 | {"final_response": "<answer>\n{\n \"1\": [\n \"Walentin Chorell\", \"author of\", \"Kattorna\",\n \"Kattorna\", \"produced by\", \"Lorens Marmstedt\",\n \"Lorens Marmstedt\", \"occupation\", \"film producer\"\n ],\n \"2\": [\n \"Walentin Chorell\", \"author of\", \"Miriam\",\n \"Miriam\", \"produced b... |
[
"Q934999",
"P161",
"Q189267"
] | [
"Q4235",
"P161",
"Q189267"
] | [
"Q189267",
"P358",
"Q837251"
] | [
"Darryl Stephens",
"cast member",
"Two and a Half Men"
] | [
"Miley Cyrus",
"cast member",
"Two and a Half Men"
] | [
"Two and a Half Men",
"discography",
"Miley Cyrus discography"
] | Q189267__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 "Two and a Half Men," the popular television show, and someone who has a discography that includes works by Miley Cyrus? | Two and a Half Men | Miley Cyrus discography | discography | Query: What are different ways of connecting "Two and a Half Men," the popular television show, and someone who has a discography that includes works by Miley Cyrus?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, re... | 35 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Two and a Half Men\", \"guest star\", \"Miley Cyrus\"],\n [\"Miley Cyrus\", \"discography\", \"Miley Cyrus discography\"]\n ],\n \"2\": [\n [\"Two and a Half Men\", \"cast member\", \"Jon Cryer\"],\n [\"Jon Cryer\", \"guest star\", \"Hannah Montana\"],\n ... |
[
"Q100869555",
"P57",
"Q61698499"
] | [
"Q100869555",
"P57",
"Q62566741"
] | [
"Q62566741",
"P3342",
"Q263367"
] | [
"Pornotropic",
"director",
"Valérie Urrea"
] | [
"Pornotropic",
"director",
"Nathalie Masduraud"
] | [
"Nathalie Masduraud",
"significant person",
"Alice Guy-Blaché"
] | Q100869555__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 Pornotropic, a term related to the adult film industry, and someone who is considered a significant figure in the life of Alice Guy-Blaché? | Pornotropic | Alice Guy-Blaché | significant person | Query: What are different ways of connecting Pornotropic, a term related to the adult film industry, and someone who is considered a significant figure in the life of Alice Guy-Blaché?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factua... | 36 | {"final_response": "```json\n{\n \"1\": [\n [\"Pornotropic\", \"related to\", \"Adult film industry\"],\n [\"Adult film industry\", \"produces\", \"Motion picture\"],\n [\"Herbert Blach\u00e9\", \"directed\", \"Motion picture\"],\n [\"Herbert Blach\u00e9\", \"significant person\", \"Alice Guy-Blach\u00e9\"... |
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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:
20 - End Index:
40
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s20__e40__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("s20_e40_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 13:12:52 using the inference pipeline with the above configuration.
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