Triple

T360886
Position Surface form Disambiguated ID Type / Status
Subject Town of Somers E7847 entity
Predicate hasPublicServices P6352 FINISHED
Object local police services 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: local police services | Statement: [Town of Somers, hasPublicServices, local police services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPublicServices
Context triple: [Town of Somers, hasPublicServices, local police services]
  • A. hasMunicipalService chosen
    Indicates that a municipality provides or is responsible for a specific public service to a given area, facility, or population.
  • B. hasServiceTo
    Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
  • C. serviceOf
    Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
  • D. hasEmergencyServices
    Indicates that the subject provides or is equipped with emergency response services (such as police, fire, or medical assistance).
  • E. hasInformationService
    Indicates that one entity provides, operates, or is associated with an information-related service for another entity.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebce64c88190a0a8edcc7095f78b completed Feb. 28, 2026, 1:21 p.m.
PD Predicate disambiguation batch_69a2e95aeed48190b5e48865cc964938 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.