Triple

T9551286
Position Surface form Disambiguated ID Type / Status
Subject Khoroshevskaya E230425 entity
Predicate hasTicketBarrierType P43416 FINISHED
Object automatic turnstiles — 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: automatic turnstiles | Statement: [Khoroshevskaya, hasTicketBarrierType, automatic turnstiles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTicketBarrierType
Context triple: [Khoroshevskaya, hasTicketBarrierType, automatic turnstiles]
  • A. hasTicketBarrier chosen
    Indicates that an access-controlled barrier or gate is present, typically requiring a valid ticket or pass to pass through.
  • B. hasTicketAccess
    Indicates that an entity is permitted to view, use, or manage a particular ticket or set of tickets.
  • C. hasTicketRequirement
    Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
  • D. hasTicketInspection
    Indicates that a ticket is checked or verified by an authorized inspector or system.
  • E. hasTicketIntegration
    Indicates that there is an established connection enabling ticket-related data or actions to be shared or synchronized between systems or components.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991df7308190a56d95f195627513 completed April 1, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69ccd594d0ac8190a81bc11a3a538167 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:02 p.m.