Triple

T7328398
Position Surface form Disambiguated ID Type / Status
Subject Keio Line bus services E168932 entity
Predicate acceptedCard P35327 FINISHED
Object Suica E131332 NE FINISHED

How this triple was built (3 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: Suica | Statement: [Keio Line bus services, acceptedCard, Suica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suica
Context triple: [Keio Line bus services, acceptedCard, Suica]
  • A. Suica chosen
    Suica is a rechargeable contactless smart card issued by JR East that is widely used for train fares and electronic payments across Japan.
  • B. Kitaca
    Kitaca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in Japan’s Hokkaido region.
  • C. PASMO
    PASMO is a rechargeable contactless smart card widely used for public transportation and electronic payments across the Tokyo metropolitan area.
  • D. ICOCA
    ICOCA is a rechargeable contactless smart card used for fare payment on public transportation systems in the Kansai region of Japan.
  • E. Myki
    Myki is Melbourne’s contactless smartcard public transport ticketing system used across trains, trams, and buses in Victoria, Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: acceptedCard
Context triple: [Keio Line bus services, acceptedCard, Suica]
  • A. cardAcceptance chosen
    Indicates that one party accepts or recognizes another party’s card as a valid form of payment or identification.
  • B. compatibleICCardBrand
    Indicates that one entity (such as a device or system) supports and can properly operate with IC cards of the specified brand.
  • C. cardType
    Indicates the classification or category assigned to a card within a given system or context.
  • D. cardFunction
    Indicates that one entity serves as the functional role, capability, or purpose associated with a card-related entity in a system.
  • E. authorizationInstrument
    Indicates that one entity serves as the formal legal or official instrument that grants authority or permission for another entity or action.
  • F. None of above.

Provenance (4 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0a879b88190bef0fb6cbae411ff completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef11f76881909d802942c4013509 completed March 28, 2026, 3:09 p.m.
PD Predicate disambiguation batch_69c6e77230048190b2c29ca6b3a65b8e completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 3:03 p.m.