Triple

T18474468
Position Surface form Disambiguated ID Type / Status
Subject Elsmere, New York E451392 entity
Predicate hasEmergencyServicesFrom P41767 FINISHED
Object Elsmere Fire District 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: Elsmere Fire District | Statement: [Elsmere, New York, hasEmergencyServicesFrom, Elsmere Fire District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elsmere Fire District
Context triple: [Elsmere, New York, hasEmergencyServicesFrom, Elsmere Fire District]
  • A. Elsmere Fire District chosen
    Elsmere Fire District is a local fire protection and emergency response agency serving the community of Delmar in the town of Bethlehem, New York.
  • B. Elsmere Fire Company
    Elsmere Fire Company is a local fire and emergency services organization serving the community of Elsmere, Delaware.
  • C. Middleton Fire District
    Middleton Fire District is the municipal fire and emergency services agency responsible for protecting the community of Middleton, Wisconsin.
  • D. Melissa Fire Department
    Melissa Fire Department is the municipal fire and emergency response agency serving the city of Melissa, Texas.
  • E. Brandon Fire Department
    The Brandon Fire Department is the municipal fire and emergency response agency serving the community of Brandon, South Dakota.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53062387481909d4503fc963f9913 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.