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 10 16 | keep_triple bool 1
class | query_prompt stringlengths 3.23k 3.3k | query stringlengths 98 159 | entity_a stringlengths 4 26 | entity_b stringlengths 4 45 | rel_b stringlengths 8 36 | prompt stringlengths 3.54k 3.65k | index int64 60 79 | raw_responses stringlengths 1.07k 4.23k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q19958463",
"P57",
"Q100145643"
] | [
"Q19955595",
"P57",
"Q100145643"
] | [
"Q100145643",
"P106",
"Q1235146"
] | [
"Olivier Higgins",
"director",
"Wandering, A Rohingya Story"
] | [
"Mélanie Carrier",
"director",
"Wandering, A Rohingya Story"
] | [
"Wandering, A Rohingya Story",
"occupation",
"documentary filmmaker"
] | Q100145643__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 Olivier Higgins, a notable figure, and someone who works as a documentary filmmaker for "Wandering, A Rohingya Story"? | Olivier Higgins | documentary filmmaker | occupation | Query: What are different ways of connecting Olivier Higgins, a notable figure, and someone who works as a documentary filmmaker for "Wandering, A Rohingya Story"?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rela... | 60 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Olivier Higgins\", \"occupation\", \"documentary filmmaker\"]\n ],\n \"2\": [\n [\"Olivier Higgins\", \"spouse\", \"M\u00e9lanie Carrier\"],\n [\"M\u00e9lanie Carrier\", \"occupation\", \"documentary filmmaker\"]\n ],\n \"3\": [\n [\"Olivier Higgins\", \"... |
[
"Q18035155",
"P2293",
"Q131755"
] | [
"Q18033185",
"P2293",
"Q131755"
] | [
"Q18033185",
"P684",
"Q18252750"
] | [
"KCNMB2",
"genetic association",
"bipolar disorder"
] | [
"NUMB",
"genetic association",
"bipolar disorder"
] | [
"NUMB",
"ortholog",
"Numb"
] | 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 KCNMB2, a gene, and a substance that is an ortholog of NUMB? | KCNMB2 | Numb | ortholog | Query: What are different ways of connecting KCNMB2, a gene, and a substance that is an ortholog of NUMB?
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 wit... | 61 | {"final_response": "<answer>\n{\n \"1\": [\n (\"KCNMB2\", \"interacts with\", \"KCNMA1\"),\n (\"KCNMA1\", \"interacts with\", \"APP\"),\n (\"APP\", \"interacts with\", \"NUMB\"),\n (\"NUMB\", \"ortholog\", \"Numb\")\n ],\n \"2\": [\n (\"KCNMB2\", \"interacts with\", \"KCNMA1\"),\n (\"KCNMA1\", \"in... |
[
"Q62003273",
"P162",
"Q105044259"
] | [
"Q7807248",
"P162",
"Q105044259"
] | [
"Q105044259",
"P69",
"Q640652"
] | [
"Daniela Taplin Lundberg",
"producer",
"Together Together"
] | [
"Timothy Headington",
"producer",
"Together Together"
] | [
"Together Together",
"educated at",
"University of Oklahoma"
] | Q105044259__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 "Together Together," the film, and someone who was educated at the University of Oklahoma? | Together Together | University of Oklahoma | educated at | Query: What are different ways of connecting "Together Together," the film, and someone who was educated at the University of Oklahoma?
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 co... | 62 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Together Together\",\n \"stars\",\n \"Ed Helms\"\n ],\n [\n \"Ed Helms\",\n \"cast member of\",\n \"The Daily Show\"\n ],\n [\n \"The Daily Show\",\n \"featured cast member\",\n \"Olivia Munn\"\n ],\n [\... |
[
"Q132689",
"P58",
"Q982710"
] | [
"Q132689",
"P58",
"Q795022"
] | [
"Q795022",
"P463",
"Q8038459"
] | [
"Casablanca",
"screenwriter",
"Howard W. Koch"
] | [
"Casablanca",
"screenwriter",
"Julius J. Epstein"
] | [
"Julius J. Epstein",
"member of",
"Writers Guild of America, West"
] | Q132689__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 Howard W. Koch, a notable figure in the film industry, and someone who is a member of the Writers Guild of America, West? | Howard W. Koch | Writers Guild of America, West | member of | Query: What are different ways of connecting Howard W. Koch, a notable figure in the film industry, and someone who is a member of the Writers Guild of America, West?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, r... | 63 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Howard W. Koch\",\n \"produced\",\n \"Airplane!\"\n ],\n [\n \"Airplane!\",\n \"written by\",\n \"David Zucker\"\n ],\n [\n \"David Zucker\",\n \"member of\",\n \"Writers Guild of America, West\"\n ]\n ],... |
[
"Q13417189",
"P162",
"Q6708571"
] | [
"Q13417189",
"P162",
"Q25191"
] | [
"Q25191",
"P19",
"Q84"
] | [
"Interstellar",
"producer",
"Lynda Obst"
] | [
"Interstellar",
"producer",
"Christopher Nolan"
] | [
"Christopher Nolan",
"place of birth",
"London"
] | Q13417189__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 Lynda Obst, a notable film producer, and someone who was born in London? | Lynda Obst | London | place of birth | Query: What are different ways of connecting Lynda Obst, a notable film producer, and someone who was born in London?
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 tha... | 64 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Lynda Obst\", \"producer of\", \"Interstellar\"],\n [\"Interstellar\", \"directed by\", \"Christopher Nolan\"],\n [\"Christopher Nolan\", \"place of birth\", \"London\"]\n ],\n \"2\": [\n [\"Lynda Obst\", \"producer of\", \"Interstellar\"],\n [\"Interste... |
[
"Q114065172",
"P463",
"Q23471"
] | [
"Q921703",
"P463",
"Q23471"
] | [
"Q921703",
"P1303",
"Q128309"
] | [
"Kone",
"member of",
"Lordi"
] | [
"Tonmi Lillman",
"member of",
"Lordi"
] | [
"Tonmi Lillman",
"instrument",
"drum kit"
] | Q23471__P463 | 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 Kone, the Finnish band, and someone who plays the drum kit as their instrument? | Kone | drum kit | instrument | Query: What are different ways of connecting Kone, the Finnish band, and someone who plays the drum kit as their instrument?
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 ch... | 65 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Kone\", \"originates from\", \"Finland\"],\n [\"Finland\", \"birthplace of\", \"Jukka Nevalainen\"],\n [\"Jukka Nevalainen\", \"instrument\", \"drum kit\"]\n ],\n \"2\": [\n [\"Kone\", \"originates from\", \"Helsinki\"],\n [\"Helsinki\", \"birthplace of\... |
[
"Q65768604",
"P161",
"Q231751"
] | [
"Q65768604",
"P161",
"Q27921425"
] | [
"Q27921425",
"P1327",
"Q6162739"
] | [
"Thor: Love and Thunder",
"cast member",
"Kat Dennings"
] | [
"Thor: Love and Thunder",
"cast member",
"Jonny Brugh"
] | [
"Jonny Brugh",
"partner in business or sport",
"Jason Hoyte"
] | Q65768604__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 Kat Dennings, the American actress, and someone who is a business partner or teammate of Jonny Brugh or Jason Hoyte? | Kat Dennings | Jason Hoyte | partner in business or sport | Query: What are different ways of connecting Kat Dennings, the American actress, and someone who is a business partner or teammate of Jonny Brugh or Jason Hoyte?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relati... | 66 | {"final_response": "```json\n{\n \"1\": [\n [\"Kat Dennings\", \"acted in\", \"Thor: Love and Thunder\"],\n [\"Thor: Love and Thunder\", \"directed by\", \"Taika Waititi\"],\n [\"Taika Waititi\", \"acted in\", \"What We Do in the Shadows\"],\n [\"What We Do in the Shadows\", \"cast member\", \"Jonny Brugh\... |
[
"Q83071",
"P161",
"Q5270024"
] | [
"Q83071",
"P161",
"Q238356"
] | [
"Q238356",
"P106",
"Q10798782"
] | [
"Downton Abbey",
"cast member",
"Di Botcher"
] | [
"Downton Abbey",
"cast member",
"Samantha Bond"
] | [
"Samantha Bond",
"occupation",
"television actor"
] | Q83071__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 Di Botcher, a television personality, and someone who is known for their work as a television actor? | Di Botcher | television actor | occupation | Query: What are different ways of connecting Di Botcher, a television personality, and someone who is known for their work as a television actor?
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) fo... | 67 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Di Botcher\", \"occupation\", \"television actor\"]\n ],\n \"2\": [\n [\"Di Botcher\", \"cast member of\", \"Stella (British TV series)\"],\n [\"Stella (British TV series)\", \"has cast member\", \"Ruth Jones\"],\n [\"Ruth Jones\", \"occupation\", \"televis... |
[
"Q18035408",
"P2293",
"Q62736"
] | [
"Q18053064",
"P2293",
"Q62736"
] | [
"Q18053064",
"P5572",
"Q66509808"
] | [
"COG5",
"genetic association",
"osteoarthritis"
] | [
"DNAH10",
"genetic association",
"osteoarthritis"
] | [
"DNAH10",
"expressed in",
"right uterine tube"
] | Q62736__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 COG5, a protein involved in cellular processes, and a substance that is expressed in the right uterine tube? | COG5 | right uterine tube | expressed in | Query: What are different ways of connecting COG5, a protein involved in cellular processes, and a substance that is expressed in the right uterine tube?
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, ... | 68 | {"final_response": "<answer>\n{\n \"1\": [\n [\"COG5\", \"expressed in\", \"right uterine tube\"]\n ],\n \"2\": [\n [\"COG5\", \"interacts with\", \"COG1\"],\n [\"COG1\", \"expressed in\", \"right uterine tube\"]\n ],\n \"3\": [\n [\"COG5\", \"interacts with\", \"COG2\"],\n [\"COG2\", \"expressed in... |
[
"Q270539",
"P39",
"Q11699"
] | [
"Q35498",
"P39",
"Q11699"
] | [
"Q35498",
"P102",
"Q42183"
] | [
"Charles W. Fairbanks",
"position held",
"Vice President of the United States"
] | [
"Chester A. Arthur",
"position held",
"Vice President of the United States"
] | [
"Chester A. Arthur",
"member of political party",
"Whig Party"
] | 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 W. Fairbanks, an American politician, and someone who was a member of the Whig Party? | Charles W. Fairbanks | Whig Party | member of political party | Query: What are different ways of connecting Charles W. Fairbanks, an American politician, and someone who was a member of the Whig Party?
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... | 69 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Charles W. Fairbanks\",\n \"held office\",\n \"Vice President of the United States\"\n ],\n [\n \"Vice President of the United States\",\n \"position held by\",\n \"Millard Fillmore\"\n ],\n [\n \"Millard Fillmore\",\n... |
[
"Q96581197",
"P57",
"Q100719246"
] | [
"Q96581188",
"P57",
"Q100719246"
] | [
"Q100719246",
"P1327",
"Q96581197"
] | [
"Jerémy Trouilh",
"director",
"Gagarine"
] | [
"Fanny Liatard",
"director",
"Gagarine"
] | [
"Gagarine",
"partner in business or sport",
"Jerémy Trouilh"
] | Q100719246__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 Jerémy Trouilh, a notable figure, and someone who has been a partner in business or sport with him? | Jerémy Trouilh | Jerémy Trouilh | partner in business or sport | Query: What are different ways of connecting Jerémy Trouilh, a notable figure, and someone who has been a partner in business or sport with him?
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... | 70 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Jer\u00e9my Trouilh\", \"directed\", \"Gagarine\"],\n [\"Gagarine\", \"directed by\", \"Fanny Liatard\"],\n [\"Fanny Liatard\", \"partner in business or sport\", \"Jer\u00e9my Trouilh\"]\n ],\n \"2\": [\n [\"Jer\u00e9my Trouilh\", \"directed\", \"Chien bleu... |
[
"Q18048619",
"P2293",
"Q131755"
] | [
"Q18045544",
"P2293",
"Q131755"
] | [
"Q18045544",
"P5572",
"Q107244"
] | [
"TMEM132C",
"genetic association",
"bipolar disorder"
] | [
"CDH23",
"genetic association",
"bipolar disorder"
] | [
"CDH23",
"expressed in",
"monocyte"
] | 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 TMEM132C, a gene associated with certain biological functions, and a substance that is expressed in monocytes? | TMEM132C | monocyte | expressed in | Query: What are different ways of connecting TMEM132C, a gene associated with certain biological functions, and a substance that is expressed in monocytes?
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... | 71 | {"final_response": "<answer>\n{\n \"1\": [\n [\"TMEM132C\", \"located on\", \"Chromosome 12\"],\n [\"CD4\", \"located on\", \"Chromosome 12\"],\n [\"CD4\", \"expressed in\", \"monocyte\"]\n ],\n \"2\": [\n [\"TMEM132C\", \"found in taxon\", \"Homo sapiens\"],\n [\"CD14\", \"found in taxon\", \"Homo sa... |
[
"Q422606",
"P2175",
"Q12199"
] | [
"Q304330",
"P2175",
"Q12199"
] | [
"Q304330",
"P527",
"Q623"
] | [
"didanosine",
"medical condition treated",
"HIV/AIDS"
] | [
"abacavir",
"medical condition treated",
"HIV/AIDS"
] | [
"abacavir",
"has part(s)",
"carbon"
] | Q12199__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 didanosine, a medication used to treat HIV, and a substance that has carbon as one of its components? | didanosine | carbon | has part(s) | Query: What are different ways of connecting didanosine, a medication used to treat HIV, and a substance that has carbon as one of its components?
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) f... | 72 | {"final_response": "<answer>\n{\n \"1\": [\n [\"didanosine\", \"has part(s)\", \"carbon\"]\n ],\n \"2\": [\n [\"didanosine\", \"treats\", \"HIV\"],\n [\"HIV\", \"has genetic material\", \"RNA\"],\n [\"RNA\", \"has part(s)\", \"carbon\"]\n ],\n \"3\": [\n [\"didanosine\", \"targets\", \"reverse trans... |
[
"Q1702841",
"P54",
"Q219714"
] | [
"Q19865964",
"P54",
"Q219714"
] | [
"Q19865964",
"P413",
"Q528145"
] | [
"Jon Runyan",
"member of sports team",
"Philadelphia Eagles"
] | [
"Ephesians Bartley",
"member of sports team",
"Philadelphia Eagles"
] | [
"Ephesians Bartley",
"position played on team / speciality",
"linebacker"
] | Q219714__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 Jon Runyan, the former American football player, and someone who played as a linebacker on a football team? | Jon Runyan | linebacker | position played on team / speciality | Query: What are different ways of connecting Jon Runyan, the former American football player, and someone who played as a linebacker on a football 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, t... | 73 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Jon Runyan\",\n \"teammate\",\n \"Jeremiah Trotter\"\n ],\n [\n \"Jeremiah Trotter\",\n \"position played on team / speciality\",\n \"linebacker\"\n ]\n ],\n \"2\": [\n [\n \"Jon Runyan\",\n \"teammate\",\n ... |
[
"Q313875",
"P463",
"Q254138"
] | [
"Q18218142",
"P463",
"Q254138"
] | [
"Q18218142",
"P1303",
"Q6607"
] | [
"Shawn Crahan",
"member of",
"Slipknot"
] | [
"Alessandro Venturella",
"member of",
"Slipknot"
] | [
"Alessandro Venturella",
"instrument",
"guitar"
] | Q254138__P463 | 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 Shawn Crahan, the musician known for his work with Slipknot, and someone who plays the guitar? | Shawn Crahan | guitar | instrument | Query: What are different ways of connecting Shawn Crahan, the musician known for his work with Slipknot, and someone who plays the guitar?
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 ... | 74 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Shawn Crahan\", \"member of\", \"Slipknot\"],\n [\"Slipknot\", \"member\", \"Mick Thomson\"],\n [\"Mick Thomson\", \"instrument\", \"guitar\"]\n ],\n \"2\": [\n [\"Shawn Crahan\", \"member of\", \"Slipknot\"],\n [\"Slipknot\", \"member\", \"Jim Root\"],\... |
[
"Q10328595",
"P58",
"Q2848040"
] | [
"Q10328595",
"P58",
"Q1704125"
] | [
"Q1704125",
"P106",
"Q36180"
] | [
"Memórias Póstumas",
"screenwriter",
"André Klotzel"
] | [
"Memórias Póstumas",
"screenwriter",
"José Roberto Torero"
] | [
"José Roberto Torero",
"occupation",
"writer"
] | Q10328595__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 André Klotzel, a Brazilian filmmaker, and someone who is a writer by profession? | André Klotzel | writer | occupation | Query: What are different ways of connecting André Klotzel, a Brazilian filmmaker, and someone who is a writer by profession?
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... | 75 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Andr\u00e9 Klotzel\", \"directed\", \"Mem\u00f3rias P\u00f3stumas\"],\n [\"Mem\u00f3rias P\u00f3stumas\", \"based on work by\", \"Machado de Assis\"],\n [\"Machado de Assis\", \"occupation\", \"writer\"]\n ],\n \"2\": [\n [\"Andr\u00e9 Klotzel\", \"directed... |
[
"Q1050065",
"P58",
"Q471000"
] | [
"Q1050065",
"P58",
"Q577959"
] | [
"Q577959",
"P101",
"Q115156386"
] | [
"REC 2",
"screenwriter",
"Jaume Balagueró"
] | [
"REC 2",
"screenwriter",
"Paco Plaza"
] | [
"Paco Plaza",
"field of work",
"film screenwriting"
] | Q1050065__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 Jaume Balagueró, the Spanish filmmaker, and someone who works in the field of film screenwriting? | Jaume Balagueró | film screenwriting | field of work | Query: What are different ways of connecting Jaume Balagueró, the Spanish filmmaker, and someone who works in the field of film screenwriting?
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) formi... | 76 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Jaume Balaguer\u00f3\", \"field of work\", \"film screenwriting\"]\n ],\n \"2\": [\n [\"Jaume Balaguer\u00f3\", \"co-directed\", \"REC (film)\"],\n [\"REC (film)\", \"co-written by\", \"Paco Plaza\"],\n [\"Paco Plaza\", \"field of work\", \"film screenwriti... |
[
"Q105081740",
"P57",
"Q15831456"
] | [
"Q105081740",
"P57",
"Q3189592"
] | [
"Q3189592",
"P69",
"Q3578463"
] | [
"The Deep House",
"director",
"Alexandre Bustillo"
] | [
"The Deep House",
"director",
"Julien Maury"
] | [
"Julien Maury",
"educated at",
"École Supérieure de Réalisation Audiovisuelle"
] | Q105081740__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 The Deep House, a horror film, and someone who was educated at the École Supérieure de Réalisation Audiovisuelle? | The Deep House | École Supérieure de Réalisation Audiovisuelle | educated at | Query: What are different ways of connecting The Deep House, a horror film, and someone who was educated at the École Supérieure de Réalisation Audiovisuelle?
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... | 77 | {"final_response": "```json\n{\n \"1\": [\n [\n \"The Deep House\",\n \"directed by\",\n \"Julien Maury\"\n ],\n [\n \"Julien Maury\",\n \"educated at\",\n \"\u00c9cole Sup\u00e9rieure de R\u00e9alisation Audiovisuelle\"\n ]\n ],\n \"2\": [\n [\n \"The Deep House\",\... |
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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:
60 - End Index:
80
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s60__e80__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("s60_e80_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 13:14:14 using the inference pipeline with the above configuration.
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