Triple

T3411765
Position Surface form Disambiguated ID Type / Status
Subject Tokyo University of Education E71912 entity
Predicate locatedIn P40 FINISHED
Object Bunkyō, Tokyo E469604 NE FINISHED

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: Bunkyō, Tokyo | Statement: [Tokyo University of Education, locatedIn, Bunkyō, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bunkyō, Tokyo
Context triple: [Tokyo University of Education, locatedIn, Bunkyō, Tokyo]
  • A. Bunkyo, Tokyo
    Bunkyo, Tokyo is a central special ward of Tokyo known for its educational institutions, cultural sites, and major sports venues such as the Tokyo Dome.
  • B. Toshima, Tokyo
    Toshima, Tokyo is a special ward in northwestern Tokyo known for its major commercial and entertainment hub Ikebukuro and its mix of residential, educational, and cultural institutions.
  • C. Itabashi, Tokyo
    Itabashi, Tokyo is one of Tokyo's 23 special wards, located in the northwestern part of the metropolis and known as a primarily residential and commercial area.
  • D. Nerima, Tokyo
    Nerima, Tokyo is a residential special ward in northwestern Tokyo known for its suburban character, parks, and role as a hub for anime production studios.
  • E. Bunkyō chosen
    Bunkyō is a central Tokyo ward known for its universities, historic temples, and quiet residential neighborhoods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb90a76288190b92ef3b26638cd47 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba392ad08190a66ccf58edecb722 completed March 21, 2026, 3:33 p.m.
Created at: March 8, 2026, 3:15 p.m.