Triple

T14828023
Position Surface form Disambiguated ID Type / Status
Subject Local Area Commands (LACs) E348625 entity
Predicate usesPolicingModel P21773 FINISHED
Object community policing 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: community policing | Statement: [Local Area Commands (LACs), usesPolicingModel, community policing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesPolicingModel
Context triple: [Local Area Commands (LACs), usesPolicingModel, community policing]
  • A. policingModel chosen
    Indicates the approach, strategy, or framework used to organize and conduct policing activities or law enforcement operations.
  • B. usesPolicyModel
    Indicates that one entity applies, relies on, or operates according to a particular policy model.
  • C. usedByLawEnforcementModel
    Indicates that something is employed or utilized by law enforcement agencies or personnel, typically as a tool, method, or model in their operations or decision-making.
  • D. enforcementModel
    Indicates the method or framework by which rules, policies, or constraints are applied, monitored, and enforced within a system or interaction.
  • E. establishedPolicy
    Indicates that a policy has been formally created, adopted, and put into effect as a guiding rule or standard.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0737d4c8190a49bf6b013da208c completed April 14, 2026, 11:40 p.m.
PD Predicate disambiguation batch_69de8c13418c819088ff9905ace1416a completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:51 a.m.