Triple

T1885631
Position Surface form Disambiguated ID Type / Status
Subject R (New York City Subway service) E39956 entity
Predicate fareMedium P1303 FINISHED
Object OMNY 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 | Statement: [R (New York City Subway service), fareMedium, OMNY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OMNY
Context triple: [R (New York City Subway service), fareMedium, OMNY]
  • A. 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.
  • B. MTA New York City Subway fare system
    The MTA New York City Subway fare system is the payment and ticketing framework that governs how riders pay to use New York City’s subway network, including methods like MetroCard and OMNY.
  • C. MTA
    MTA is the commonly used abbreviation for the Maryland Transit Administration, the state agency that operates public transportation services in and around Baltimore, Maryland.
  • D. MTA
    MTA is the abbreviated name historically used for Boston’s Metropolitan Transit Authority, the predecessor to today’s MBTA public transit system.
  • E. New York City Subway
    The New York City Subway is one of the world’s largest and busiest rapid transit systems, serving the five boroughs of New York City with extensive 24/7 underground and elevated rail service.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb12032c881909cd93e3601906f48 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf61413081909c0e840590aaf631 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.