Triple

T14284854
Position Surface form Disambiguated ID Type / Status
Subject 港区 E354141 entity
Predicate hasRailwayOperator P20222 FINISHED
Object 東京メトロ E34803 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: 東京メトロ | Statement: [港区, 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: [港区, 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 (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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd647daf448190a7a9e4ab432977c4 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:10 a.m.