Triple

T17175260
Position Surface form Disambiguated ID Type / Status
Subject Calgary Transit E416842 entity
Predicate usesTicketingZoneSystem P125194 FINISHED
Object no 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: no | Statement: [Calgary Transit, usesTicketingZoneSystem, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesTicketingZoneSystem
Context triple: [Calgary Transit, usesTicketingZoneSystem, no]
  • A. ticketZoneSystem chosen
    Indicates that there is a specific fare or access zoning system governing how tickets are defined, priced, or validated within a transport or event context.
  • B. ticketingZoneType
    Indicates the type or category of ticketing zone that applies within a given area or context.
  • C. fareZoneIncludes
    Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
  • D. usedForTicketType
    Indicates that something is utilized or applicable for a specific type or category of ticket.
  • E. hasTicketingAuthority
    Indicates that an entity possesses the official power or permission to issue, manage, or control tickets for an event, service, or system.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0cec448190b30466628a2ff23f completed April 18, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69e383141ae0819096acd71683637cbc completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:37 a.m.