Triple

T14437546
Position Surface form Disambiguated ID Type / Status
Subject Taitō ward E358002 entity
Predicate hasOfficialName P66 FINISHED
Object Taitō City E34802 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 City | Statement: [Taitō ward, hasOfficialName, Taitō City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taitō City
Context triple: [Taitō ward, hasOfficialName, Taitō City]
  • A. Tokamachi
    Tokamachi is a city in Niigata Prefecture, Japan, known for its heavy snowfall, traditional textile industry, and scenic rural landscapes.
  • B. Taitō chosen
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • C. Taikon
    Taikon is a Romani Swedish family name most prominently associated with activist and silversmith Rosa Taikon and her relatives.
  • D. Taitō City Office
    Taitō City Office is the main administrative headquarters of Taitō ward in Tokyo, Japan, providing local government services and public administration for residents and businesses.
  • E. City of Sakai
    The City of Sakai is a major urban municipality in Osaka Prefecture, Japan, historically renowned as a center of trade, craftsmanship, and distinctive cultural heritage.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914a45ec81909ab8ccf302047d7f completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648b8f348190be11645b371b4102 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:18 a.m.