Triple

T3674556
Position Surface form Disambiguated ID Type / Status
Subject Government Center (Miami) E77958 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: [Government Center (Miami), fareSystem, EASY Card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EASY Card
Context triple: [Government Center (Miami), 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. Presto card
    The Presto card is a reloadable smart card used for paying public transit fares across the Greater Toronto and Hamilton Area and other regions in Ontario, Canada.
  • E. Go-To Card
    The Go-To Card is a reusable, contactless smart card used to pay fares on the Minneapolis–Saint Paul METRO transit system.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4619cf08190a09a4a820c59cbc4 completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48856b7d481909d9cc32586d61d44 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.