Triple

T16504132
Position Surface form Disambiguated ID Type / Status
Subject Washington (CTA Blue Line station) E400876 entity
Predicate fareMediumAccepted P9955 FINISHED
Object Ventra card E1909 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: Ventra card | Statement: [Washington (CTA Blue Line station), fareMediumAccepted, Ventra card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ventra card
Context triple: [Washington (CTA Blue Line station), fareMediumAccepted, Ventra card]
  • A. Ventra chosen
    Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
  • B. 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.
  • C. 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.
  • D. SmartRider card
    The SmartRider card is a reusable contactless smartcard used for electronic ticketing on Transperth public transport services in Western Australia.
  • E. Presto card
    The Presto card is a reloadable smart card used for paying public transit fares across the Greater Toronto and Hamilton Area and other regions in Ontario, Canada.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e5100e48190a623d6ee2fefb87e completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058305e308190a22cbd03daec53aa completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:14 a.m.