Triple

T15851436
Position Surface form Disambiguated ID Type / Status
Subject TAP E384349 entity
Predicate fullName P16 FINISHED
Object 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: Transit Access Pass | Statement: [TAP, fullName, Transit Access Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transit Access Pass
Context triple: [TAP, fullName, Transit Access Pass]
  • A. Transit Access Pass chosen
    Transit Access Pass is a reusable smart fare card used for paying transit fares across participating public transportation systems.
  • B. METRO Day Pass
    METRO Day Pass is a public transit fare product in Houston that provides unlimited rides on METRO services, including METRORail, for a full day at a fixed price.
  • 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. TTC day pass
    The TTC day pass is a transit fare product that allows unlimited travel on Toronto’s public transportation system for a single day.
  • E. One Day Convenience Pass
    The One Day Convenience Pass is a SEPTA Key fare option that provides unlimited rides on eligible SEPTA services for a single day.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cacf5f08190a0dfe22018ed7905 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa147bce481909fb6f6ef2793a5a8 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.