Triple

T4026876
Position Surface form Disambiguated ID Type / Status
Subject VTST E83611 entity
Predicate fareSystem P395 FINISHED
Object TAP (Transit Access Pass) E81216 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: TAP (Transit Access Pass) | Statement: [VTST, fareSystem, TAP (Transit Access Pass)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAP (Transit Access Pass)
Context triple: [VTST, fareSystem, TAP (Transit Access Pass)]
  • A. TAP card
    The TAP card is a reusable contactless smart card used to pay fares across public transit systems in the Los Angeles County region.
  • B. Transit Access Pass chosen
    Transit Access Pass is a reusable smart fare card used for paying transit fares across participating public transportation systems.
  • C. 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.
  • 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. 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.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaed37e48190844032e7e77163e0 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556325c48819099d4cb5c2049d7e7 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.