Triple

T28410009
Position Surface form Disambiguated ID Type / Status
Subject Belgian Federal Police E719636 entity
Predicate policeStructureModel P21773 FINISHED
Object integrated two-level police system 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: integrated two-level police system | Statement: [Belgian Federal Police, policeStructureModel, integrated two-level police system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policeStructureModel
Context triple: [Belgian Federal Police, policeStructureModel, integrated two-level police system]
  • A. policeRankStructure
    Indicates the hierarchical ranking relationship that defines levels of authority and command within a police organization.
  • B. policeSystem
    Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
  • C. policingModel chosen
    Indicates the approach, strategy, or framework used to organize and conduct policing activities or law enforcement operations.
  • D. policeBureau
    Indicates that an entity functions as or is associated with a police bureau or police department.
  • E. hasPoliceInstitution
    Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
  • 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_69eff6f0f37c8190b37bc6fab08a9449 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f69383222c81909d8baa04129d5c81 completed May 3, 2026, 12:14 a.m.
PD Predicate disambiguation batch_69f690eb1e948190aab41a89969519a5 completed May 3, 2026, 12:03 a.m.
Created at: April 28, 2026, 1:26 a.m.