Triple

T35654636
Position Surface form Disambiguated ID Type / Status
Subject Northern Constabulary E1030250 entity
Predicate policedAreaType P157540 FINISHED
Object rural 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: rural | Statement: [Northern Constabulary, policedAreaType, rural]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policedAreaType
Context triple: [Northern Constabulary, policedAreaType, rural]
  • A. areaTypePoliced chosen
    Indicates that a particular type of geographic or administrative area falls under the policing responsibility or jurisdiction of a specified policing entity.
  • B. policeAreaPrecursorOf
    Indicates that one police area served as a predecessor or earlier form of another police area in an administrative or organizational sequence.
  • C. localGovernmentAreaType
    Indicates the specific classification or category of a local government area within an administrative or governmental hierarchy.
  • D. policeAndCrimeCommissionerArea
    Indicates the geographic area over which a specific Police and Crime Commissioner has authority or jurisdiction.
  • E. policeBranchType
    Indicates the specific organizational category or type of a police branch within a law enforcement structure.
  • 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_69f76e0938088190a8f199631e97dec3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fbbc49da8c8190902bbb05d2477cab completed May 6, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69fbb13f34b08190bbbb220ac1e6e666 completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:05 p.m.