Triple

T590755
Position Surface form Disambiguated ID Type / Status
Subject Littleton Fire Department E17262 entity
Predicate publicSafetyAgencyType P15991 FINISHED
Object fire and EMS department LITERAL 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: fire and EMS department | Statement: [Littleton Fire Department, publicSafetyAgencyType, fire and EMS department]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicSafetyAgencyType
Context triple: [Littleton Fire Department, publicSafetyAgencyType, fire and EMS department]
  • A. publicAgency
    Indicates that an entity functions as a government-controlled or government-authorized organization that provides public services or carries out public administration.
  • B. securityAgency
    Indicates that one entity functions as a security agency responsible for protection, surveillance, or enforcement activities in relation to another entity.
  • C. hasPoliceDepartment
    Indicates that an entity possesses, is served by, or is administratively associated with a police department.
  • D. isGovernmentFacility
    Indicates that the subject entity functions as a facility owned, operated, or officially designated for use by a government or its agencies.
  • E. typeOfLawEnforcement
    Indicates that one entity is a specific kind or category of law enforcement associated with another entity.
  • F. None of above. chosen

Provenance (4 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bb8ff0081909cd53d88930e2693 completed March 1, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69a494cc13988190892ca10bd7ae9f09 completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a4985ada988190aaea628a9b55bca4 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:33 p.m.