Triple

T34108992
Position Surface form Disambiguated ID Type / Status
Subject Bedfordshire Police E874785 entity
Predicate sharesChiefOfficer P201393 FINISHED
Object Cambridgeshire Constabulary NE NERFINISHED

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: Cambridgeshire Constabulary | Statement: [Bedfordshire Police, sharesChiefOfficer, Cambridgeshire Constabulary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesChiefOfficer
Context triple: [Bedfordshire Police, sharesChiefOfficer, Cambridgeshire Constabulary]
  • A. chiefLieutenantOf
    Indicates that one person serves as the primary subordinate or top-ranking assistant to another leader or authority figure.
  • B. chiefRevenueOfficerOf
    Indicates that a person holds the position of chief revenue officer within a specified organization, responsible for overseeing and driving its revenue-generating activities.
  • C. primaryOfficer
    Indicates that an entity serves as the main or leading officer responsible for another entity or organization.
  • D. chiefFinancialOfficerOf
    Indicates that one entity holds the position of chief financial officer (CFO) within the organization represented by the other entity.
  • E. isOfficerOf
    Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
  • F. None of above. chosen

Provenance (4 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_69fff09dae088190bd8460060d778feb completed May 10, 2026, 2:42 a.m.
PD Predicate disambiguation batch_69fff0027c5c8190baa5c7a15852cbe0 completed May 10, 2026, 2:40 a.m.
PDg Predicate description generation batch_69fff09ce63881908e7f91a3d35d969f completed May 10, 2026, 2:42 a.m.
Created at: May 1, 2026, 1:53 a.m.