Triple

T9962254
Position Surface form Disambiguated ID Type / Status
Subject De Croo Government E195595 entity
Predicate healthResponsibility P91682 FINISHED
Object Part of Belgian health policy at federal level 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: Part of Belgian health policy at federal level | Statement: [De Croo Government, healthResponsibility, Part of Belgian health policy at federal level]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: healthResponsibility
Context triple: [De Croo Government, healthResponsibility, Part of Belgian health policy at federal level]
  • A. publicHealthResponse
    Indicates actions and measures taken by authorities or organizations to prevent, control, or mitigate health threats within a population.
  • B. publicHealthSignificance
    Indicates that something has importance, impact, or relevance for the health of the public or population at large.
  • C. healthEffect
    Indicates the impact or consequence that one entity has on the health or well-being of another.
  • D. focusesOnMedicalCare
    Indicates that one entity directs attention, resources, or activity specifically toward providing or improving medical care for another entity.
  • E. healthRationale
    Indicates the reasoning or justification behind an assessment, decision, or action related to health.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d37f0c8190946b958c399f3250 completed April 2, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69cd1d9ae19c819099fb3635e57c79be completed April 1, 2026, 1:28 p.m.
PDg Predicate description generation batch_69cd36f112bc81908b473787e702de2f completed April 1, 2026, 3:17 p.m.
Created at: March 30, 2026, 8:47 p.m.