Triple

T21342213
Position Surface form Disambiguated ID Type / Status
Subject Rinkai Line E526222 entity
Predicate fareCardsAccepted P35327 FINISHED
Object PASMO 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: PASMO | Statement: [Rinkai Line, fareCardsAccepted, PASMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PASMO
Context triple: [Rinkai Line, fareCardsAccepted, PASMO]
  • A. PASMO chosen
    PASMO is a rechargeable contactless smart card widely used for public transportation and electronic payments across the Tokyo metropolitan area.
  • B. Suica
    Suica is a rechargeable contactless smart card issued by JR East that is widely used for train fares and electronic payments across Japan.
  • C. Keihan fare system
    The Keihan fare system is the ticketing and pricing structure used across the Keihan Electric Railway network in the Kansai region of Japan.
  • D. Kitaca
    Kitaca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in Japan’s Hokkaido region.
  • E. 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.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a84fa8088190afda63af7f4ce586 completed April 22, 2026, 10:51 a.m.
Created at: April 16, 2026, 4:44 p.m.