Triple

T19389075
Position Surface form Disambiguated ID Type / Status
Subject Sanger, Texas E485012 entity
Predicate hasFireService P8978 FINISHED
Object Sanger Fire Department NE NERFINISHED

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: Sanger Fire Department | Statement: [Sanger, Texas, hasFireService, Sanger Fire Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanger Fire Department
Context triple: [Sanger, Texas, hasFireService, Sanger Fire Department]
  • A. Sanger Fire Department chosen
    The Sanger Fire Department is the municipal emergency services agency responsible for fire protection, rescue, and related public safety services in Sanger, Texas.
  • B. Clark Fire Department
    The Clark Fire Department is the municipal fire and emergency response agency serving the community of Clark, New Jersey.
  • C. Bryant Fire Department
    The Bryant Fire Department is the municipal fire and emergency response agency serving the city of Bryant, Arkansas.
  • D. 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.
  • E. Dennis Fire Department
    The Dennis Fire Department is the municipal fire and emergency services agency serving the town of Dennis, Massachusetts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b425e848190ab5ae8ae0a034fe2 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.