Triple

T34109006
Position Surface form Disambiguated ID Type / Status
Subject Bedfordshire Police E874785 entity
Predicate hasSpecialConstabulary P1198 FINISHED
Object Bedfordshire Police Special Constabulary
Bedfordshire Police Special Constabulary is a volunteer police force that supports Bedfordshire Police by providing trained, part-time officers who hold full policing powers alongside their regular duties.
 E2082288 NE FINISHED

How this triple was built (3 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: Bedfordshire Police Special Constabulary | Statement: [Bedfordshire Police, hasSpecialConstabulary, Bedfordshire Police Special Constabulary]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bedfordshire Police Special Constabulary
Triple: [Bedfordshire Police, hasSpecialConstabulary, Bedfordshire Police Special Constabulary]
Generated description
Bedfordshire Police Special Constabulary is a volunteer police force that supports Bedfordshire Police by providing trained, part-time officers who hold full policing powers alongside their regular duties.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSpecialConstabulary
Context triple: [Bedfordshire Police, hasSpecialConstabulary, Bedfordshire Police Special Constabulary]
  • A. hasSpecialUnit chosen
    Indicates that an entity possesses or is associated with a distinct, designated unit that has a special role, function, or status.
  • B. hasOwnPoliceForce
    Indicates that an entity maintains and controls its own dedicated police force or law enforcement agency.
  • C. hasPoliceCommissionerate
    Indicates that a particular area or jurisdiction falls under the authority or administration of a specific police commissionerate.
  • D. hasPolicePowersIn
    Indicates that an entity possesses official police authority or jurisdiction within a specified area or region.
  • E. hasSergeantAtArms
    Indicates that an organization, body, or group is associated with and formally appoints a specific individual to serve in the role of Sergeant-at-Arms.
  • F. None of above.

Provenance (6 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_69f349a80d4481908527317d43f5c579 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fe12a899d4819080d48423f32eace9 completed May 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36b7692b188190aadcf52ff42324d3 completed June 20, 2026, 3:53 p.m.
NEDg Description generation batch_6a36b81e1e588190bb400c76f45944d1 completed June 20, 2026, 3:56 p.m.
NED2 Entity disambiguation (via description) batch_6a36b9868250819097430b3864d75880 completed June 20, 2026, 4:02 p.m.
PD Predicate disambiguation batch_69fe0d7f6aa08190a1d2dfc025d4e0dc completed May 8, 2026, 4:21 p.m.
Created at: May 1, 2026, 1:53 a.m.