Triple

T6298538
Position Surface form Disambiguated ID Type / Status
Subject SL4 E141191 entity
Predicate fareMedium P1303 FINISHED
Object CharlieTicket 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: CharlieTicket | Statement: [SL4, fareMedium, CharlieTicket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CharlieTicket
Context triple: [SL4, fareMedium, CharlieTicket]
  • A. CharlieTicket chosen
    CharlieTicket is a reusable paper smart card used for paying fares on Boston’s MBTA public transit system.
  • B. Raseedi Ticket
    Raseedi Ticket is an autobiographical work by renowned Punjabi writer Amrita Pritam, reflecting on her personal life, relationships, and literary journey.
  • C. 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.
  • D. Nol Red Ticket
    Nol Red Ticket is a disposable, low-cost public transport card used by visitors and occasional riders to pay fares across Dubai’s metro, bus, and other RTA services.
  • E. The Ticket
    The Ticket is a 2016 American drama film about a blind man who regains his sight and becomes consumed by ambition, starring Dan Stevens and Kerry Bishé.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ddaa48190b3ea8061fc1d9dc4 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c51993b8ec8190a0813d66851ac201 completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:27 p.m.