Triple

T3829340
Position Surface form Disambiguated ID Type / Status
Subject MARTA Bus E88771 entity
Predicate uses P98 FINISHED
Object Breeze Ticket E390194 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: Breeze Ticket | Statement: [MARTA Bus, uses, Breeze Ticket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breeze Ticket
Context triple: [MARTA Bus, uses, Breeze Ticket]
  • A. Breeze Ticket chosen
    Breeze Ticket is MARTA’s reloadable smart fare card used for paying bus and rail fares in the Atlanta public transit system.
  • B. 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.
  • C. CharlieTicket
    CharlieTicket is a reusable paper smart card used for paying fares on Boston’s MBTA public transit system.
  • D. EASY Ticket
    EASY Ticket is a rechargeable smart fare card used by Miami-Dade Metrorail and related transit services for convenient electronic payment of rides.
  • E. The Price of the Ticket
    The Price of the Ticket is a powerful James Baldwin essay that examines the personal and societal costs of Black existence and identity in the United States.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb683c2081908ffa6e759a3470fe completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503f9df8c8190b42c544e827d6c76 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:17 p.m.