Triple

T16488762
Position Surface form Disambiguated ID Type / Status
Subject Miami Metrorail stations E400516 entity
Predicate fareSystem P395 FINISHED
Object EASY Card E311296 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: EASY Card | Statement: [Miami Metrorail stations, fareSystem, EASY Card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EASY Card
Context triple: [Miami Metrorail stations, fareSystem, EASY Card]
  • A. EASY Card chosen
    The EASY Card is a contactless smart card used as a stored-value payment method for public transit services in the Miami-Dade area.
  • B. EasyCard
    EasyCard is a rechargeable contactless smart card widely used in Taipei and other parts of Taiwan for public transportation fares and small-value retail payments.
  • C. Breeze Card
    The Breeze Card is a reusable smart fare card used for paying transit fares across the Metropolitan Atlanta Rapid Transit Authority (MARTA) system in Atlanta, Georgia.
  • D. Leap Card
    Leap Card is a reusable, contactless smart card used for paying public transport fares across Dublin and other parts of Ireland.
  • E. Pronto card
    The Pronto card is a reloadable smart fare card used for paying public transit fares across the San Diego Metropolitan Transit System and related 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e2e3bf88190ba6eac85a79e5ac8 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00582472388190a3c338ab636da9c6 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.