Triple

T6650972
Position Surface form Disambiguated ID Type / Status
Subject Kaohsiung MRT Orange Line E150818 entity
Predicate ticketingBrand P61256 FINISHED
Object EasyCard E376162 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: EasyCard | Statement: [Kaohsiung MRT Orange Line, ticketingBrand, EasyCard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EasyCard
Context triple: [Kaohsiung MRT Orange Line, ticketingBrand, EasyCard]
  • A. EasyCard chosen
    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.
  • B. EASY Card
    The EASY Card is a contactless smart card used as a stored-value payment method for public transit services in the Miami-Dade area.
  • 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. 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6d0a3a2408190bb7be4613f896bdc completed March 27, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eefb3b6c8190ba797dc51966e3a5 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.