Triple

T14972450
Position Surface form Disambiguated ID Type / Status
Subject Mita Line E373355 entity
Predicate operator P179 FINISHED
Object Toei Subway E35464 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: Toei Subway | Statement: [Mita Line, operator, Toei Subway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toei Subway
Context triple: [Mita Line, operator, Toei Subway]
  • A. Toei Subway chosen
    Toei Subway is one of Tokyo's two main subway networks, operated by the Tokyo Metropolitan Bureau of Transportation and serving numerous urban and suburban areas across the city.
  • B. Tokyo Metro
    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.
  • C. Sendai Subway
    Sendai Subway is an urban rapid transit system serving the city of Sendai in Japan, providing key north–south and east–west rail connections across the metropolitan area.
  • D. Tokyo Metro Fukutoshin Line
    The Tokyo Metro Fukutoshin Line is a major Tokyo subway line running north–south through central and suburban areas, connecting key hubs such as Shibuya with other important districts.
  • E. Yokohama Municipal Subway
    Yokohama Municipal Subway is an urban rapid transit system in Yokohama, Japan, operating multiple underground lines that connect key districts and suburbs across the city.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e767608190940eb6f16ea97451 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e0ed148190bd357be922fe8319 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 2:50 a.m.