Triple

T6433684
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metro 10000 series E129838 entity
Predicate depot P14646 FINISHED
Object Wakoshi Depot E335637 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: Wakoshi Depot | Statement: [Tokyo Metro 10000 series, depot, Wakoshi Depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wakoshi Depot
Context triple: [Tokyo Metro 10000 series, depot, Wakoshi Depot]
  • A. Nakamozu Depot
    Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
  • B. Kasukabe Depot chosen
    Kasukabe Depot is a railway maintenance and storage facility in Kasukabe, Saitama Prefecture, serving Tokyo Metro’s subway rolling stock.
  • C. Suminoe Depot
    Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
  • D. Saginuma Depot
    Saginuma Depot is a maintenance and storage facility for Tokyo Metro trains serving the Hanzomon Line in the Tokyo area.
  • E. Morinomiya Depot
    Morinomiya Depot is a major Osaka Metro facility used for the storage, inspection, and maintenance of trains serving the Sennichimae Line and other routes.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0693f73ec8190883470b57f8141aa completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669de36a08190837817b32074e405 completed March 27, 2026, 11:28 a.m.
Created at: March 22, 2026, 4:45 p.m.