Triple

T14609144
Position Surface form Disambiguated ID Type / Status
Subject Yamate 111 Ban-Kan E342909 entity
Predicate locatedIn P40 FINISHED
Object Yamate district NE NERFINISHED

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: Yamate district | Statement: [Yamate 111 Ban-Kan, locatedIn, Yamate district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamate district
Context triple: [Yamate 111 Ban-Kan, locatedIn, Yamate district]
  • A. Yamate district chosen
    Yamate district is a historic hillside neighborhood in Yokohama known for its Western-style residences, foreign settlement heritage, and scenic views over the city and harbor.
  • B. Ichigaya district
    Ichigaya district is a central Tokyo neighborhood known for its government and military institutions, educational facilities, and proximity to the Imperial Palace area.
  • C. Kichijoji district
    Kichijoji district is a popular Tokyo neighborhood famed for its lively shopping streets, trendy cafes, and the expansive Inokashira Park.
  • D. Tsuboya district
    Tsuboya district is a historic area in Naha, Okinawa, renowned as the traditional center of Ryukyuan pottery production and culture.
  • E. Aoyama district
    Aoyama district is an upscale neighborhood in central Tokyo known for its fashionable boutiques, trendy cafes, art galleries, and modern architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44f0dd48190a78662b5998a6722 completed April 14, 2026, 9:40 p.m.
Created at: April 10, 2026, 1:25 a.m.