Triple

T17833303
Position Surface form Disambiguated ID Type / Status
Subject Tamagawa district E445316 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Setagaya City 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: Setagaya City | Statement: [Tamagawa district, locatedInAdministrativeTerritory, Setagaya City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Setagaya City
Context triple: [Tamagawa district, locatedInAdministrativeTerritory, Setagaya City]
  • A. Shinagawa City
    Shinagawa City is a special ward in Tokyo, Japan, known as a major commercial and transportation hub with a mix of business districts and residential neighborhoods.
  • B. Shibuya City
    Shibuya City is a major commercial and entertainment district in central Tokyo, Japan, famous for its bustling scramble crossing, youth culture, and fashion scene.
  • C. Bunkyō City
    Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.
  • D. Setagaya chosen
    Setagaya is a large residential ward in western Tokyo, Japan, known for its suburban neighborhoods, parks, and role as a commuter area for central Tokyo.
  • E. Kōtō City
    Kōtō City is a special ward in eastern Tokyo known for its waterfront areas, modern residential and commercial districts, and cultural sites such as museums and event venues.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2635a081909d4d48d22e260f8e completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:15 a.m.