Triple

T3736524
Position Surface form Disambiguated ID Type / Status
Subject Akasaka Estate E79598 entity
Predicate ward P21208 FINISHED
Object Minato E70984 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: Minato | Statement: [Akasaka Estate, ward, Minato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minato
Context triple: [Akasaka Estate, ward, Minato]
  • A. Minato chosen
    Minato is a central special ward of Tokyo known for its major business districts, foreign embassies, and landmarks such as Tokyo Tower and Roppongi.
  • B. Minato-ku
    Minato-ku is a central ward of Osaka, Japan, known for its waterfront attractions and major landmarks such as the Osaka Aquarium Kaiyukan.
  • C. Kōtō
    Kōtō is a special ward in eastern Tokyo, Japan, known for its mix of residential neighborhoods, waterfront areas, and commercial districts.
  • D. Toshima
    Toshima is a special ward in northwest Tokyo known for the major commercial and entertainment hub of Ikebukuro and its dense urban residential districts.
  • E. Musashino
    Musashino is a suburban city in western Tokyo, Japan, known for the popular Kichijoji district and its blend of residential neighborhoods, shopping areas, and parks.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3d32b081909a993a78b0869db8 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8bb93044819094d61035355c08f0 completed March 22, 2026, 6:27 a.m.
Created at: March 8, 2026, 3:34 p.m.