Triple

T8618577
Position Surface form Disambiguated ID Type / Status
Subject Buenos Aires commuter rail network E204103 entity
Predicate fareSystem P395 FINISHED
Object SUBE card E191067 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: SUBE card | Statement: [Buenos Aires commuter rail network, fareSystem, SUBE card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SUBE card
Context triple: [Buenos Aires commuter rail network, fareSystem, SUBE card]
  • A. SUBE card chosen
    The SUBE card is a rechargeable contactless smart card used as an integrated electronic payment system for public transportation across Buenos Aires and other parts of Argentina.
  • B. 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.
  • 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. 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.
  • E. Opal card
    The Opal card is a reusable, contactless smartcard used to pay for public transport across much of New South Wales, Australia.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4712e74c81908b607a0ab2f9a361 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbcb910881909088da53c6e31ae3 completed April 2, 2026, 6:56 p.m.
Created at: March 30, 2026, 6:26 p.m.