Triple

T94948
Position Surface form Disambiguated ID Type / Status
Subject Ventra E1909 entity
Predicate supportsMedium P203 FINISHED
Object Ventra Card 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 Card | Statement: [Ventra, supportsMedium, Ventra Card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ventra Card
Context triple: [Ventra, supportsMedium, Ventra Card]
  • A. Ventra chosen
    Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
  • B. SEPTA Key
    SEPTA Key is a contactless smart fare card and payment system used across Philadelphia’s SEPTA public transit network.
  • C. SmarTrip
    SmarTrip is a rechargeable contactless smart card used to pay fares on the Washington, D.C. region’s public transit systems.
  • D. TAP card
    The TAP card is a reusable contactless smart card used to pay fares across public transit systems in the Los Angeles County region.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: supportsMedium
Context triple: [Ventra, supportsMedium, Ventra Card]
  • A. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • B. typeOfSupport
    Indicates the kind or category of assistance, help, or backing provided in a given context.
  • C. supportsActivity
    Indicates that one entity provides the necessary conditions, resources, or environment for another entity’s activity to occur or be sustained.
  • D. supportsPolicy
    Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
  • E. support
    Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
  • 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_69a284fd52f08190b264937658192e79 completed Feb. 28, 2026, 6:02 a.m.
PD Predicate disambiguation batch_69a24ebb3da08190a8b82564f33cde3b completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.