Triple

T10830054
Position Surface form Disambiguated ID Type / Status
Subject Middlesex Borough Fire Department E255593 entity
Predicate hasCallSignType P4790 FINISHED
Object municipal fire 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: municipal fire department | Statement: [Middlesex Borough Fire Department, hasCallSignType, municipal fire department]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCallSignType
Context triple: [Middlesex Borough Fire Department, hasCallSignType, municipal fire department]
  • A. hasCallSignOwner
    Indicates that a particular call sign is owned or assigned to a specific entity.
  • B. hasCallSignPrefix
    Indicates that an entity’s call sign begins with a specified prefix.
  • C. callSignType chosen
    Indicates the classification or category of a call sign associated with an entity or communication.
  • D. hasCallsignCompanion
    Indicates that one entity serves as a companion or associated partner to another entity’s callsign.
  • E. supportsCallSign
    Indicates that one entity is capable of recognizing, handling, or operating using a specified call sign.
  • F. None of above.

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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d74420fa188190b5b3c59e1a9f551d completed April 9, 2026, 6:16 a.m.
PD Predicate disambiguation batch_69d70d25280c8190b648d7d1958b413a completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:19 p.m.