Triple

T37981975
Position Surface form Disambiguated ID Type / Status
Subject BC Rail (historical) E947574 entity
Predicate operatedFreightTrains P204164 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: [BC Rail (historical), operatedFreightTrains, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatedFreightTrains
Context triple: [BC Rail (historical), operatedFreightTrains, yes]
  • A. operatedFreightServiceIn
    Indicates that an entity operated a freight transportation service within or across the specified geographic area or route.
  • B. allowsFreightTrains
    Indicates that something permits or authorizes the operation or passage of freight trains.
  • C. operatesRailNetworkOf
    Indicates that one entity manages and runs the rail network belonging to or associated with another entity.
  • D. operatedFreightInterchangeWith
    Indicates that one entity operated a freight interchange service or facility jointly with another entity, enabling the transfer of freight between their respective operations.
  • E. hasPassengerTrains
    Indicates that a location, route, or rail line is served by trains that carry passengers.
  • F. None of above. chosen

Provenance (4 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_69f76ef8a1d08190a741bbbc5970e3b3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a033d975d788190aafc4be10d6c5c1c completed May 12, 2026, 2:47 p.m.
PD Predicate disambiguation batch_6a033cc2668481908cb696e57632a68f completed May 12, 2026, 2:44 p.m.
PDg Predicate description generation batch_6a033d9690e081909f65653b0dc80e20 completed May 12, 2026, 2:47 p.m.
Created at: May 3, 2026, 4:20 p.m.