Triple

T4015061
Position Surface form Disambiguated ID Type / Status
Subject Cessnock subway station E90735 entity
Predicate ticketBarriers P43416 FINISHED
Object yes LITERAL 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: yes | Statement: [Cessnock subway station, ticketBarriers, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ticketBarriers
Context triple: [Cessnock subway station, ticketBarriers, yes]
  • A. hasTicketBarrier chosen
    Indicates that an access-controlled barrier or gate is present, typically requiring a valid ticket or pass to pass through.
  • B. fareControl
    Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
  • C. barAdmission
    Indicates that a legal professional has been formally admitted to practice law before a particular bar or court.
  • D. ticket
    Indicates that an entity serves as or is associated with a ticket, typically representing authorization, access, or a record for an event, service, or transaction.
  • E. requiresParkTicket
    Indicates that access to something is conditional on possessing a valid park ticket.
  • F. None of above.

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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaec08dc8190a341809059554f84 completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fa6fec81909b1190ecbba61410 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:35 p.m.