Triple

T12496462
Position Surface form Disambiguated ID Type / Status
Subject Yugo-Zapadnaya E298697 entity
Predicate isFareControlled P1740 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: [Yugo-Zapadnaya, isFareControlled, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFareControlled
Context triple: [Yugo-Zapadnaya, isFareControlled, yes]
  • A. hasFareControlIntegrationSince
    Indicates that a fare control system has been integrated with another system or entity starting from a specific point in time.
  • B. fareControl chosen
    Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
  • C. hasFareZoneSystem
    Indicates that an entity uses or is associated with a particular fare zone system for determining travel costs or ticketing.
  • D. fareControlUnifiedWith
    Indicates that separate fare control areas are combined into a single, shared fare-controlled zone.
  • E. hasAutomaticFareCollection
    Indicates that an entity is equipped with a system that automatically collects fares or payments from users without manual processing.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e8a706c8190873623eab7db607d completed April 10, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69d94d41f3cc8190a3331fb9a895306f completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:57 p.m.