Triple

T18170632
Position Surface form Disambiguated ID Type / Status
Subject Racine station E435014 entity
Predicate fareCardAccepted P9955 FINISHED
Object Ventra 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: Ventra Card | Statement: [Racine station, fareCardAccepted, Ventra Card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ventra Card
Context triple: [Racine station, fareCardAccepted, Ventra Card]
  • A. Ventra chosen
    Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
  • B. E-ZPass
    E-ZPass is an electronic toll collection system widely used on highways and bridges across the eastern United States, allowing drivers to pay tolls automatically without stopping.
  • C. Pronto card
    The Pronto card is a reloadable smart fare card used for paying public transit fares across the San Diego Metropolitan Transit System and related services.
  • D. SmartRider card
    The SmartRider card is a reusable contactless smartcard used for electronic ticketing on Transperth public transport services in Western Australia.
  • E. Breeze Card
    The Breeze Card is a reusable smart fare card used for paying transit fares across the Metropolitan Atlanta Rapid Transit Authority (MARTA) system in Atlanta, Georgia.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df555af081908a2f12bce6a13f56 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.