Triple

T17175037
Position Surface form Disambiguated ID Type / Status
Subject Salt Lake Central station E416836 entity
Predicate fareSystem P395 FINISHED
Object UTA FarePay E760111 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: UTA FarePay | Statement: [Salt Lake Central station, fareSystem, UTA FarePay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTA FarePay
Context triple: [Salt Lake Central station, fareSystem, UTA FarePay]
  • A. UTA GoRide app chosen
    The UTA GoRide app is a mobile application that lets riders of the Utah Transit Authority plan trips, buy and use digital fares, and access real-time transit information.
  • B. MetroRide
    MetroRide is a free downtown Denver circulator bus service providing frequent, short-distance connections within the city center.
  • C. JTPA
    JTPA is a former U.S. federal law that funded job training and employment programs for economically disadvantaged individuals and dislocated workers.
  • D. UTA bus network
    The UTA bus network is a public transit system of bus routes operated by the Utah Transit Authority that provides local and regional transportation across communities in Utah.
  • E. SUBE card
    The SUBE card is a rechargeable contactless smart card used as an integrated electronic payment system for public transportation across Buenos Aires and other parts of Argentina.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0c329081909f118bd4b7be8653 completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148435f6081909bfc6cc1ef59d971 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.