Triple

T32818616
Position Surface form Disambiguated ID Type / Status
Subject Red Line (Washington Metro) stations E839370 entity
Predicate useTicketBarrier P43416 FINISHED
Object faregates 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: faregates | Statement: [Red Line (Washington Metro) stations, useTicketBarrier, faregates]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: useTicketBarrier
Context triple: [Red Line (Washington Metro) stations, useTicketBarrier, faregates]
  • A. hasTicketBarrier chosen
    Indicates that an access-controlled barrier or gate is present, typically requiring a valid ticket or pass to pass through.
  • B. hasTicket
    Indicates that an entity possesses or holds a ticket, typically granting access, entry, or a right to a service or event.
  • C. hasTicketAccess
    Indicates that an entity is permitted to view, use, or manage a particular ticket or set of tickets.
  • D. requiresParkTicket
    Indicates that access to something is conditional on possessing a valid park ticket.
  • E. hasTicketRequirement
    Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
  • 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_69f3493df9008190a8f5d843dcd77704 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce6d659881909ddcec1d2966e020 completed May 3, 2026, 4:26 a.m.
PD Predicate disambiguation batch_69f6cc1667a48190b42684f6ec22dae9 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:15 a.m.