Triple

T11934470
Position Surface form Disambiguated ID Type / Status
Subject Bunkyo Civic Center E284002 entity
Predicate locatedIn P40 FINISHED
Object Bunkyo 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: Bunkyo | Statement: [Bunkyo Civic Center, locatedIn, Bunkyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bunkyo
Context triple: [Bunkyo Civic Center, locatedIn, Bunkyo]
  • A. Bunkyō chosen
    Bunkyō is a central Tokyo ward known for its universities, historic temples, and quiet residential neighborhoods.
  • B. Chiyoda
    Chiyoda is a central special ward of Tokyo that serves as Japan’s political and administrative hub, housing the Imperial Palace, the National Diet, and many government institutions.
  • C. Chiyoda
    Chiyoda was a Japanese light aircraft carrier of the Imperial Japanese Navy that served in World War II and was sunk during the Battle off Cape Engaño in 1944.
  • D. Katsushika Ward
    Katsushika Ward is a special ward in northeastern Tokyo, Japan, known for its traditional shitamachi atmosphere, residential neighborhoods, and role as a transit-connected suburb of the capital.
  • E. Itabashi
    Itabashi is a special ward in northern Tokyo, Japan, known as a primarily residential area with a mix of traditional neighborhoods and modern urban infrastructure.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90306fcf48190a963d2d1932288d1 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d3551cc8190848c14c15da07dc4 completed May 9, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:45 p.m.