Triple

T94964
Position Surface form Disambiguated ID Type / Status
Subject Ventra E1909 entity
Predicate replaced P101 FINISHED
Object Chicago Card Plus E9285 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: Chicago Card Plus | Statement: [Ventra, replaced, Chicago Card Plus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago Card Plus
Context triple: [Ventra, replaced, Chicago Card Plus]
  • A. Chicago Card chosen
    Chicago Card was a contactless smart fare card once used for public transit payments in the Chicago area before being phased out in favor of the Ventra system.
  • B. Chicago Surface Lines
    Chicago Surface Lines was a privately operated streetcar and bus system that provided most of Chicago’s surface public transportation in the first half of the 20th century.
  • C. SmarTrip
    SmarTrip is a rechargeable contactless smart card used to pay fares on the Washington, D.C. region’s public transit systems.
  • D. Chicago Transit Authority
    The Chicago Transit Authority is the primary public transportation agency serving Chicago and several surrounding suburbs, operating the city’s extensive network of buses and rapid transit trains.
  • E. MetroCard
    MetroCard is a magnetic stripe payment card formerly used as the primary method for paying fares on New York City’s public transit system, including subways and buses.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd4777c81909ea9b9a6bd4f7ad5 completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c1cdad88190aae17fcf5554a674 completed Feb. 28, 2026, 4:16 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.