Triple

T17236270
Position Surface form Disambiguated ID Type / Status
Subject Milltown E418367 entity
Predicate hasEmergencyServices P464 FINISHED
Object Milltown Fire Department E1197801 NE 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: Milltown Fire Department | Statement: [Milltown, hasEmergencyServices, Milltown Fire Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Milltown Fire Department
Context triple: [Milltown, hasEmergencyServices, Milltown Fire Department]
  • A. Milltown Fire Department chosen
    The Milltown Fire Department is the municipal fire and emergency response agency serving the community of Milltown, New Jersey.
  • B. Milton Fire Department
    The Milton Fire Department is the municipal fire and emergency response agency serving the town of Milton, Massachusetts.
  • C. Milton Fire Department
    The Milton Fire Department is the municipal fire and emergency response agency serving the town of Milton, Vermont.
  • D. Mine Hill Fire Department
    The Mine Hill Fire Department is the local fire and emergency response agency serving the community of Mine Hill Township, New Jersey.
  • E. Melissa Fire Department
    Melissa Fire Department is the municipal fire and emergency response agency serving the city of Melissa, Texas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dfbc6e88190a3dd7930fd1681ac completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01676596a48190ae17a411b86e613e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:39 a.m.