Triple

T95010
Position Surface form Disambiguated ID Type / Status
Subject Chicago Transit Authority E1910 entity
Predicate usesFareCardSystem P395 FINISHED
Object Ventra E1909 NE FINISHED

How this triple was built (3 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 | Statement: [Chicago Transit Authority, usesFareCardSystem, Ventra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ventra
Context triple: [Chicago Transit Authority, usesFareCardSystem, Ventra]
  • A. Ventra chosen
    Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
  • B. Chevrolet Bolt EV
    The Chevrolet Bolt EV is a compact all-electric hatchback known for its relatively long driving range, affordability, and role in popularizing mainstream electric vehicles in North America.
  • C. Ford Model e
    Ford Model e is Ford Motor Company's dedicated division focused on developing and producing electric and connected vehicles.
  • D. AMX
    AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
  • E. Lyft
    Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usesFareCardSystem
Context triple: [Chicago Transit Authority, usesFareCardSystem, Ventra]
  • A. fareSystem chosen
    Indicates a relationship where a system is used to determine, collect, or manage fares or payments for transportation or similar services.
  • B. hasFareZone
    Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
  • C. hasFaregates
    Indicates that an entity is equipped with or contains faregates used to control or validate access, typically for paid entry.
  • D. fareControl
    Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
  • E. hasTicketing
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • F. None of above.

Provenance (4 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_69a24feef1b08190bb9525f71cce053e completed Feb. 28, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2917a5a7081909f1c3ec53bc51dfb completed Feb. 28, 2026, 6:55 a.m.
PD Predicate disambiguation batch_69a24ebb3da08190a8b82564f33cde3b completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.