Triple

T22173050
Position Surface form Disambiguated ID Type / Status
Subject Lions Bay E547969 entity
Predicate hasEmergencyService P464 FINISHED
Object Lions Bay Fire Rescue NE NERFINISHED

How this triple was built (3 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: Lions Bay Fire Rescue | Statement: [Lions Bay, hasEmergencyService, Lions Bay Fire Rescue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lions Bay Fire Rescue
Context triple: [Lions Bay, hasEmergencyService, Lions Bay Fire Rescue]
  • A. North Shore Fire/Rescue
    North Shore Fire/Rescue is a regional fire and emergency medical services department serving multiple communities in the North Shore area of Milwaukee County, Wisconsin.
  • B. Vaughan Fire and Rescue Service
    Vaughan Fire and Rescue Service is the municipal fire protection and emergency response agency serving the city of Vaughan in Ontario, Canada.
  • C. Gray Fire-Rescue Department
    Gray Fire-Rescue Department is the municipal emergency services agency providing fire protection, rescue operations, and emergency medical response for the town of Gray, Maine.
  • D. Shoreline Fire Department
    Shoreline Fire Department is the municipal fire and emergency response agency serving the city of Shoreline, Washington.
  • E. Ross Fire Department
    The Ross Fire Department is the local emergency response agency providing fire protection, rescue services, and related public safety support to the town of Ross, California.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lions Bay Fire Rescue
Target entity description: Lions Bay Fire Rescue is the volunteer fire and emergency response department serving the Village of Lions Bay in British Columbia, Canada.
  • A. North Shore Fire/Rescue
    North Shore Fire/Rescue is a regional fire and emergency medical services department serving multiple communities in the North Shore area of Milwaukee County, Wisconsin.
  • B. Vaughan Fire and Rescue Service
    Vaughan Fire and Rescue Service is the municipal fire protection and emergency response agency serving the city of Vaughan in Ontario, Canada.
  • C. Gray Fire-Rescue Department
    Gray Fire-Rescue Department is the municipal emergency services agency providing fire protection, rescue operations, and emergency medical response for the town of Gray, Maine.
  • D. Shoreline Fire Department
    Shoreline Fire Department is the municipal fire and emergency response agency serving the city of Shoreline, Washington.
  • E. Ross Fire Department
    The Ross Fire Department is the local emergency response agency providing fire protection, rescue services, and related public safety support to the town of Ross, California.
  • F. None of above. chosen

Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a69c12c8190a03177b5b740456a completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.