Triple

T3729758
Position Surface form Disambiguated ID Type / Status
Subject Woodside station E79032 entity
Predicate ticketingSystem P3383 FINISHED
Object MTA eTix E110473 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: MTA eTix | Statement: [Woodside station, ticketingSystem, MTA eTix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTA eTix
Context triple: [Woodside station, ticketingSystem, MTA eTix]
  • A. MTA eTix chosen
    MTA eTix is a mobile ticketing application that lets riders purchase and display Long Island Rail Road and Metro-North Railroad tickets on their smartphones.
  • B. Telecharge ticketing service
    Telecharge ticketing service is a major theater ticketing platform in the United States, best known for selling Broadway and off-Broadway tickets, particularly for productions in Shubert-owned venues.
  • C. MBTA CharlieTicket
    MBTA CharlieTicket is a reusable paper fare card used for paying subway, bus, and commuter rail fares on the Massachusetts Bay Transportation Authority system.
  • D. CharlieTicket
    CharlieTicket is a reusable paper smart card used for paying fares on Boston’s MBTA public transit system.
  • E. 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.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb17432881909390284b935ed3fd completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db13d34881909fa74c682184b797 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.