Triple

T8850443
Position Surface form Disambiguated ID Type / Status
Subject Ueno Park E210624 entity
Predicate locatedIn P40 FINISHED
Object Taitō, Tokyo E270275 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: Taitō, Tokyo | Statement: [Ueno Park, locatedIn, Taitō, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taitō, Tokyo
Context triple: [Ueno Park, locatedIn, Taitō, Tokyo]
  • A. Taitō, Tokyo, Japan chosen
    Taitō is a central Tokyo ward known for its historic districts like Asakusa and Ueno, major temples and shrines, and prominent cultural attractions including Ueno Park and its museums.
  • B. Ōta, Tokyo
    Ōta, Tokyo is a large ward in southern Tokyo known for its mix of residential and industrial areas and for hosting Haneda Airport, one of Japan’s major international gateways.
  • C. Fussa, Tokyo
    Fussa, Tokyo is a city in western Tokyo Metropolis known for hosting the Yokota Air Base and having a strong U.S. military presence.
  • D. Kunitachi, Tokyo
    Kunitachi, Tokyo is a suburban city in western Tokyo known for its academic institutions, tree-lined avenues, and reputation as a quiet, residential college town.
  • E. 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.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c2300c819097b1ca6ebe2f749a completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89cb853c8190a7664f2e7de0de87 completed April 3, 2026, 9:35 a.m.
Created at: March 30, 2026, 6:49 p.m.