Triple

T8292552
Position Surface form Disambiguated ID Type / Status
Subject MBTA Commuter Rail fare zones E193934 entity
Predicate fareMedia P1303 FINISHED
Object mTicket mobile app 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: mTicket mobile app | Statement: [MBTA Commuter Rail fare zones, fareMedia, mTicket mobile app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: mTicket mobile app
Context triple: [MBTA Commuter Rail fare zones, fareMedia, 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 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.
  • C. CharlieTicket
    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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c9ccbfc81908825685c23b80d23 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6899b818819090c80a8eba7d5d4c completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.