Triple

T14232086
Position Surface form Disambiguated ID Type / Status
Subject White Flint Metro station E352774 entity
Predicate ticketingSystem P3383 FINISHED
Object SmarTrip E7649 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: SmarTrip | Statement: [White Flint Metro station, ticketingSystem, SmarTrip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SmarTrip
Context triple: [White Flint Metro station, ticketingSystem, SmarTrip]
  • A. SmarTrip chosen
    SmarTrip is a rechargeable contactless smart card used to pay fares on the Washington, D.C. region’s public transit systems.
  • B. Metro TAP card
    The Metro TAP card is a reusable, reloadable smart fare card used for contactless payment across the Los Angeles County public transit system.
  • C. 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.
  • D. METRO Q Card
    The METRO Q Card is a reusable, reloadable smart fare card used to pay for rides on Houston’s METRO public transit system.
  • E. MBTA CharlieCard
    The MBTA CharlieCard is a reusable contactless smart card used to pay fares on Boston’s public transit system, including subways, buses, and some commuter rail and ferry services.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622cdd6481908befa179a9675bb5 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281bc67c81909bb09ee4a39a0b7f completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:07 a.m.