Triple

T20104270
Position Surface form Disambiguated ID Type / Status
Subject 墨田区 E181379 entity
Predicate hasRailwayOperator P20222 FINISHED
Object 東京メトロ 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: 東京メトロ | Statement: [墨田区, hasRailwayOperator, 東京メトロ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 東京メトロ
Context triple: [墨田区, hasRailwayOperator, 東京メトロ]
  • A. Tokyo Metro chosen
    Tokyo Metro is one of the two main rapid transit operators in Tokyo, running an extensive network of subway lines that serve the city’s central and metropolitan areas.
  • B. Tobu Railway
    Tobu Railway is a major private railway company in Japan that operates extensive rail networks in the Greater Tokyo area and surrounding regions.
  • C. Tokyu Railways
    Tokyu Railways is a major private railway operator in the Greater Tokyo area of Japan, known for its extensive commuter rail network and integration with urban development projects.
  • D. Seibu Railway
    Seibu Railway is a major private railway operator in the Greater Tokyo area of Japan, running extensive commuter and interurban train services across Tokyo and Saitama.
  • E. Tokyo Metropolitan Bureau of Transportation
    The Tokyo Metropolitan Bureau of Transportation is the local government agency that operates key public transit services in Tokyo, including subways, trams, and buses.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666daf73c819089f02ca6faa2c283 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:27 p.m.