Triple

T14168587
Position Surface form Disambiguated ID Type / Status
Subject 伊藤 清 E351143 entity
Predicate 出身大学 P73067 FINISHED
Object 東京帝国大学
東京帝国大学は、近代日本の学術とエリート教育を担った旧制帝国大学の一つで、現在の東京大学の前身となった名門総合大学である。
E1082881 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 東京帝国大学 | Statement: [伊藤 清, 出身大学, 東京帝国大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 東京帝国大学
Context triple: [伊藤 清, 出身大学, 東京帝国大学]
  • A. 京都帝国大学
    京都帝国大学 was a major prewar Japanese imperial university in Kyoto that later became Kyoto University, renowned for its research and academic excellence.
  • B. 國學院大學
    國學院大學 is a private Japanese university in Tokyo known for its focus on Shinto studies, Japanese history, and traditional culture.
  • C. Keijo Imperial University
    Keijo Imperial University was a Japanese imperial university established in colonial Korea that served as a major center for higher education and research under Japanese rule.
  • D. Meiji University
    Meiji University is a prominent private research university in Tokyo, Japan, known for its strong programs in law, politics, and the humanities.
  • E. Liberal Arts College of the University of Tokyo
    The Liberal Arts College of the University of Tokyo is the undergraduate College of Arts and Sciences that provides a broad-based general education to all first- and second-year students before they specialize in their chosen fields.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 東京帝国大学
Triple: [伊藤 清, 出身大学, 東京帝国大学]
Generated description
東京帝国大学は、近代日本の学術とエリート教育を担った旧制帝国大学の一つで、現在の東京大学の前身となった名門総合大学である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 東京帝国大学
Target entity description: 東京帝国大学は、近代日本の学術とエリート教育を担った旧制帝国大学の一つで、現在の東京大学の前身となった名門総合大学である。
  • A. 京都帝国大学
    京都帝国大学 was a major prewar Japanese imperial university in Kyoto that later became Kyoto University, renowned for its research and academic excellence.
  • B. 國學院大學
    國學院大學 is a private Japanese university in Tokyo known for its focus on Shinto studies, Japanese history, and traditional culture.
  • C. Keijo Imperial University
    Keijo Imperial University was a Japanese imperial university established in colonial Korea that served as a major center for higher education and research under Japanese rule.
  • D. Meiji University
    Meiji University is a prominent private research university in Tokyo, Japan, known for its strong programs in law, politics, and the humanities.
  • E. Liberal Arts College of the University of Tokyo
    The Liberal Arts College of the University of Tokyo is the undergraduate College of Arts and Sciences that provides a broad-based general education to all first- and second-year students before they specialize in their chosen fields.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fcf8bb58ac81908e66156a805edda8 completed May 7, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69fcf93b528c81908c0ee11908d25574 completed May 7, 2026, 8:42 p.m.
Created at: April 10, 2026, 1 a.m.