Triple

T628291
Position Surface form Disambiguated ID Type / Status
Subject Times Square–42nd Street subway station E15867 entity
Predicate fareControlSystem P395 FINISHED
Object MetroCard E3073 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: MetroCard | Statement: [Times Square–42nd Street subway station, fareControlSystem, MetroCard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MetroCard
Context triple: [Times Square–42nd Street subway station, fareControlSystem, MetroCard]
  • A. MetroCard chosen
    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.
  • B. SmarTrip
    SmarTrip is a rechargeable contactless smart card used to pay fares on the Washington, D.C. region’s public transit systems.
  • C. Oyster card
    The Oyster card is a rechargeable smartcard used for convenient, cashless payment on public transport services across London.
  • D. Clipper card
    The Clipper card is a reloadable contactless smart card used to pay fares across multiple public transit systems in the San Francisco Bay Area.
  • E. OMNY
    OMNY is the contactless fare payment system used by New York City's public transit network, replacing the MetroCard with tap-and-go payments via cards, phones, and wearables.
  • 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: fareControlSystem
Context triple: [Times Square–42nd Street subway station, fareControlSystem, MetroCard]
  • A. fareControl
    Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
  • B. fareControlLocation
    Indicates a location where access to or use of a transportation service is regulated, checked, or controlled for fare payment.
  • C. fareSystem chosen
    Indicates a relationship where a system is used to determine, collect, or manage fares or payments for transportation or similar services.
  • D. hasFaregates
    Indicates that an entity is equipped with or contains faregates used to control or validate access, typically for paid entry.
  • E. hasFareControlIntegrationSince
    Indicates that a fare control system has been integrated with another system or entity starting from a specific point in time.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e5b5a308190a62165f9275e2f5f completed March 1, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56c4b64088190a033462dd923f5b2 completed March 2, 2026, 10:54 a.m.
PD Predicate disambiguation batch_69a49d01b29081908be87e4cd7726ff1 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.