Triple

T21234804
Position Surface form Disambiguated ID Type / Status
Subject 磯崎 新 E523314 entity
Predicate 出身大学 P73067 FINISHED
Object 東京大学 NE NERFINISHED

How this triple was built (2 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: 東京大学 | Statement: [磯崎 新, 出身大学, 東京大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 東京大学
Context triple: [磯崎 新, 出身大学, 東京大学]
  • A. Chuo University
    Chuo University is a major private research university in Tokyo, Japan, known for its prestigious law school and comprehensive range of academic programs.
  • B. University of Tokyo chosen
    The University of Tokyo is Japan’s most prestigious and oldest national research university, renowned for its leading role in higher education, science, and public policy in Japan and worldwide.
  • 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. Keio University
    Keio University is a prestigious private research university in Tokyo, Japan, known as the country’s oldest modern institution of higher education and a leading center for academics and innovation.
  • E. Tokyo Daigaku
    Tokyo Daigaku, commonly known as the University of Tokyo, is Japan’s most prestigious national research university and a leading institution in higher education and scholarship in Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7351f0e988190bb77b598cb8a9532 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.