Triple

T5298967
Position Surface form Disambiguated ID Type / Status
Subject M15 bus E119927 entity
Predicate fareSystem P395 FINISHED
Object MetroCard E3073 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: MetroCard | Statement: [M15 bus, fareSystem, MetroCard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MetroCard
Context triple: [M15 bus, fareSystem, 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. 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.
  • 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. MTA New York City Subway fare system
    The MTA New York City Subway fare system is the payment and ticketing framework that governs how riders pay to use New York City’s subway network, including methods like MetroCard and OMNY.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8506a90c8190bf311f280a061d1a completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ec33ac819083d283e960a049af completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.