Triple

T11685016
Position Surface form Disambiguated ID Type / Status
Subject Seibu Railway E277715 entity
Predicate ICCardBrandAccepted 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: [Seibu Railway, ICCardBrandAccepted, Suica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suica
Context triple: [Seibu Railway, ICCardBrandAccepted, 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: ICCardBrandAccepted
Context triple: [Seibu Railway, ICCardBrandAccepted, Suica]
  • A. compatibleICCardBrand
    Indicates that one entity (such as a device or system) supports and can properly operate with IC cards of the specified brand.
  • B. cardBrandsInvolved
    Indicates that specific payment card brands are involved or participate in a given transaction, process, or context.
  • C. issuerBrandPortfolioIncludes
    Indicates that an issuer’s overall brand portfolio contains or encompasses a particular brand.
  • D. cardAcceptance chosen
    Indicates that one party accepts or recognizes another party’s card as a valid form of payment or identification.
  • E. cardEligibility
    Indicates whether an entity qualifies for or is allowed to receive a particular card under specified criteria.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01943196c8190900b46da238e1f24 completed April 28, 2026, 2:19 a.m.
PD Predicate disambiguation batch_69d88a7b30948190b616a9db5c5488d5 completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:40 p.m.