Triple

T12719483
Position Surface form Disambiguated ID Type / Status
Subject Travelcard Zone 1 E303936 entity
Predicate paymentMedium P5428 FINISHED
Object Oyster card E60075 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: Oyster card | Statement: [Travelcard Zone 1, paymentMedium, Oyster card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oyster card
Context triple: [Travelcard Zone 1, paymentMedium, Oyster card]
  • A. Oyster card chosen
    The Oyster card is a rechargeable smartcard used for convenient, cashless payment on public transport services across London.
  • B. ORCA card
    The ORCA card is a reusable, contactless smart card used to pay fares across multiple public transit systems in the Puget Sound region of Washington State.
  • C. Merseytravel smartcard
    The Merseytravel smartcard is a contactless travel card used for seamless payment and ticketing across public transport services in the Merseyside region of England.
  • D. System One travelcards
    System One travelcards are integrated public transport tickets in Greater Manchester that allow unlimited travel across multiple operators and modes within selected zones.
  • E. Metro TAP card
    The Metro TAP card is a reusable, reloadable smart fare card used for contactless payment across the Los Angeles County public transit system.
  • 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: paymentMedium
Context triple: [Travelcard Zone 1, paymentMedium, Oyster card]
  • A. paymentSystem
    Indicates a relationship where one entity functions as a mechanism or platform through which another entity makes or processes payments.
  • B. paymentMethod chosen
    Indicates the means or instrument through which a payment is made in a transaction.
  • C. payType
    Indicates the method or category of payment used in a transaction or compensation arrangement.
  • D. paySystem
    Indicates that one entity provides monetary or other compensation to another entity through a particular method, platform, or mechanism.
  • E. paymentServices
    Indicates that one entity provides or facilitates payment-related services or processing for another entity.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8250108190bb7b3c93e590ea47 completed May 2, 2026, 10:36 p.m.
PD Predicate disambiguation batch_69d96403957c81909acdee7bdae71696 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:24 p.m.