Triple

T9909076
Position Surface form Disambiguated ID Type / Status
Subject Bunkyo, Tokyo E185091 entity
Predicate contains P35 FINISHED
Object Bunkyo City Hall E284002 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: Bunkyo City Hall | Statement: [Bunkyo, Tokyo, contains, Bunkyo City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bunkyo City Hall
Context triple: [Bunkyo, Tokyo, contains, Bunkyo City Hall]
  • A. Bunkyo Civic Center chosen
    Bunkyo Civic Center is a prominent government and cultural complex in Tokyo known for its observation deck with panoramic city views and its role as the ward’s administrative hub.
  • B. Hachiōji City Hall
    Hachiōji City Hall is the main municipal government building and administrative center serving the city of Hachiōji in Tokyo, Japan.
  • C. Minoh City Hall
    Minoh City Hall is the main municipal government building and administrative center serving the city of Minoh in Osaka Prefecture, Japan.
  • D. Minato City Hall
    Minato City Hall is the main administrative government building serving Tokyo’s Minato ward.
  • E. Shinagawa City Hall
    Shinagawa City Hall is the main administrative government building serving Tokyo’s Shinagawa ward, housing its municipal offices and public services.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb50feb008190aa9c084f590c0ebd completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2578390888190b60f3962aec37b2d completed April 5, 2026, 12:37 p.m.
Created at: March 30, 2026, 8:41 p.m.