Triple

T15462457
Position Surface form Disambiguated ID Type / Status
Subject Locust Manor station E371936 entity
Predicate ticketing P395 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: [Locust Manor station, ticketing, MTA eTix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTA eTix
Context triple: [Locust Manor station, ticketing, 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. mTicket mobile app
    The mTicket mobile app is a digital ticketing platform that allows riders to purchase, store, and display fares for MBTA Commuter Rail services directly on their smartphones.
  • D. TIX
    TIX is the IATA airport code for Space Coast Regional Airport, a public airport serving the Titusville area on Florida’s Space Coast.
  • E. TMB Tickets
    TMB Tickets is the official mobile application that allows users to purchase and manage public transport tickets for Barcelona’s metropolitan transit network.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f1927708190a0d2b63e75469a0e completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cff942081908a2f5351079666a3 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:32 a.m.