Triple

T14495067
Position Surface form Disambiguated ID Type / Status
Subject Hinohara E359474 entity
Predicate locatedIn P40 FINISHED
Object Tokyo Metropolis E27983 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: Tokyo Metropolis | Statement: [Hinohara, locatedIn, Tokyo Metropolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo Metropolis
Context triple: [Hinohara, locatedIn, Tokyo Metropolis]
  • A. Tokyo Prefecture chosen
    Tokyo Prefecture is Japan’s capital metropolitan region, encompassing the city of Tokyo and serving as the country’s political, economic, and cultural center.
  • 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. Kōtō, Tokyo
    Kōtō, Tokyo is a special ward in eastern Tokyo known for its extensive waterfront areas, canals, and a mix of residential, commercial, and industrial districts.
  • D. Yokohama metropolitan area
    The Yokohama metropolitan area is a major urban and economic region in Japan centered on the port city of Yokohama and its surrounding municipalities within the Greater Tokyo area.
  • E. Bunkyō City
    Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de93109cb081909a6e846db23a4635 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d77e8dc8190b90f3505960e549e completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:21 a.m.