Triple

T17406525
Position Surface form Disambiguated ID Type / Status
Subject Sounder E423229 entity
Predicate fareIntegration P8545 FINISHED
Object ORCA 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: ORCA card | Statement: [Sounder, fareIntegration, ORCA card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ORCA card
Context triple: [Sounder, fareIntegration, ORCA card]
  • A. ORCA card chosen
    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.
  • 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. Opal card
    The Opal card is a reusable, contactless smartcard used to pay for public transport across much of New South Wales, Australia.
  • D. TransLink card
    The TransLink card was a contactless smart card used for fare payment on public transit systems in the San Francisco Bay Area before being succeeded by the Clipper card.
  • E. Oyster card
    The Oyster card is a rechargeable smartcard used for convenient, cashless payment on public transport services across London.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b081ae08190b144e333a3a74b02 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.