Triple

T13334930
Position Surface form Disambiguated ID Type / Status
Subject Heathrow rail and Underground stations E317663 entity
Predicate fareMedium P1303 FINISHED
Object Oyster card E60075 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: Oyster card | Statement: [Heathrow rail and Underground stations, fareMedium, Oyster card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oyster card
Context triple: [Heathrow rail and Underground stations, fareMedium, 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. Octopus card
    The Octopus card is a rechargeable contactless smart card widely used in Hong Kong for public transport fares and everyday electronic payments.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f39f298819088d79cda3ac2b375 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:30 p.m.