Triple

T10297016
Position Surface form Disambiguated ID Type / Status
Subject Setagaya E241517 entity
Predicate hasDistrict P459 FINISHED
Object Shimokitazawa area E251108 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: Shimokitazawa area | Statement: [Setagaya, hasDistrict, Shimokitazawa area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shimokitazawa area
Context triple: [Setagaya, hasDistrict, Shimokitazawa area]
  • A. Shimokitazawa district chosen
    Shimokitazawa district is a trendy Tokyo neighborhood known for its narrow streets packed with vintage clothing shops, small theaters, live music venues, and independent cafes.
  • B. Tanimachi area
    The Tanimachi area is a central Osaka district known for its government offices, business centers, and convenient access to major historical and commercial sites.
  • C. Koishikawa district
    Koishikawa district is a residential and educational neighborhood in Tokyo known for sites like Koishikawa Kōrakuen Garden and the University of Tokyo facilities.
  • D. Omotesando district
    Omotesando district is a fashionable Tokyo neighborhood known for its tree-lined avenue, high-end boutiques, modern architecture, and trendy cafes.
  • E. Iidabashi area
    The Iidabashi area is a central Tokyo district known for its major train hub, office buildings, universities, and proximity to the Kagurazaka neighborhood.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ebd258819099fadddcd13099fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75018383481909abbba8247a93f8e completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:43 a.m.