Triple

T16592595
Position Surface form Disambiguated ID Type / Status
Subject Hitotsubashi University E403126 entity
Predicate abbreviation P43 FINISHED
Object Hitotsubashi 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: Hitotsubashi | Statement: [Hitotsubashi University, abbreviation, Hitotsubashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hitotsubashi
Context triple: [Hitotsubashi University, abbreviation, Hitotsubashi]
  • A. Hitotsubashi University chosen
    Hitotsubashi University is a prestigious Japanese national university renowned for its specialization in the social sciences, particularly economics, commerce, and law.
  • B. Showa University
    Showa University is a private Japanese university known for its strong focus on medical and health sciences education and research.
  • C. Tokyo Shimbu Gakko
    Tokyo Shimbu Gakko was a Japanese educational institution that trained many early 20th-century Chinese revolutionaries, including Huang Xing.
  • D. 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.
  • E. Todai
    Todai is the common nickname for the University of Tokyo, Japan’s most prestigious and influential national research university.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e359a123e8819095cd73cd848a3345 completed April 18, 2026, 10:14 a.m.
Created at: April 10, 2026, 5:16 a.m.