Triple

T23009156
Position Surface form Disambiguated ID Type / Status
Subject Travelcard Zone 9 E572859 entity
Predicate ticketMedium P9955 FINISHED
Object Oyster card 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: Oyster card | Statement: [Travelcard Zone 9, ticketMedium, Oyster card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oyster card
Context triple: [Travelcard Zone 9, ticketMedium, 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. Libero travelcard
    The Libero travelcard is a regional public transport pass used for unlimited travel within designated zones in and around Bern and other parts of the Libero fare network in Switzerland.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835919b08190ba78e182b87358d4 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.