Triple

T20858135
Position Surface form Disambiguated ID Type / Status
Subject Troy, Michigan E513535 entity
Predicate hasFireDepartment P464 FINISHED
Object Troy 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: Troy Fire Department | Statement: [Troy, Michigan, hasFireDepartment, Troy Fire Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troy Fire Department
Context triple: [Troy, Michigan, hasFireDepartment, Troy Fire Department]
  • A. Troy Fire Department chosen
    The Troy Fire Department is the municipal fire and emergency services agency responsible for protecting lives and property in the city of Troy, Michigan.
  • B. Brandon Fire Department
    The Brandon Fire Department is the municipal fire and emergency response agency serving the community of Brandon, South Dakota.
  • C. Bryant Fire Department
    The Bryant Fire Department is the municipal fire and emergency response agency serving the city of Bryant, Arkansas.
  • D. Porter Fire Department
    Porter Fire Department is the local emergency response agency providing fire protection and related services to the community of Porter, Texas.
  • E. Troy Police Department
    The Troy Police Department is the municipal law enforcement agency responsible for public safety, crime prevention, and policing services in the city of Troy, Michigan.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a9fd7881908ae4c5c63f64efc0 completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.