Triple

T7753505
Position Surface form Disambiguated ID Type / Status
Subject SIM31 E175829 entity
Predicate fareMedium P1303 FINISHED
Object OMNY contactless payment system E29814 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: OMNY contactless payment system | Statement: [SIM31, fareMedium, OMNY contactless payment system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OMNY contactless payment system
Context triple: [SIM31, fareMedium, OMNY contactless payment system]
  • A. Subway smartcard
    The Subway smartcard is a reusable contactless payment card used to conveniently pay fares on the Glasgow Subway system.
  • B. OMNY chosen
    OMNY is the contactless fare payment system used by New York City's public transit network, replacing the MetroCard with tap-and-go payments via cards, phones, and wearables.
  • C. Yikatong contactless smart card
    The Yikatong contactless smart card is a rechargeable stored-value card widely used for seamless fare payment across Beijing’s public transportation network.
  • D. 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.
  • E. ORCA card
    The ORCA card is a reusable, contactless smart card used to pay fares across multiple public transit systems in the Puget Sound region of Washington State.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b4b54c819088ffe918ce5c7de4 completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be5a649c81909c94d629348b34fc completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:08 p.m.