Triple

T7565462
Position Surface form Disambiguated ID Type / Status
Subject Fitchburg Line E178900 entity
Predicate fareMedium P1303 FINISHED
Object mTicket mobile app E16692 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: mTicket mobile app | Statement: [Fitchburg Line, fareMedium, mTicket mobile app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: mTicket mobile app
Context triple: [Fitchburg Line, fareMedium, mTicket mobile app]
  • A. 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.
  • B. MTA eTix
    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.
  • C. CharlieTicket chosen
    CharlieTicket is a reusable paper smart card used for paying fares on Boston’s MBTA public transit system.
  • D. GoTix
    GoTix is Gojek’s ticketing platform for purchasing event, movie, and entertainment tickets through the Gojek ecosystem.
  • E. Raseedi Ticket
    Raseedi Ticket is an autobiographical work by renowned Punjabi writer Amrita Pritam, reflecting on her personal life, relationships, and literary journey.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fde87c81909795fc713d7378ff completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856dc5ea881908c2e0075f9631af4 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.