Triple

T7403953
Position Surface form Disambiguated ID Type / Status
Subject Politics of Wales E170818 entity
Predicate policyCompetences P1876 FINISHED
Object health 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: health | Statement: [Politics of Wales, policyCompetences, health]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policyCompetences
Context triple: [Politics of Wales, policyCompetences, health]
  • A. politicalFunction
    Indicates that an entity holds, performs, or is associated with a specific role, duty, or function within a political system or structure.
  • B. policyFocus chosen
    Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
  • C. coordinatesNationalPoliciesFor
    Indicates that one entity organizes and harmonizes national-level policies or strategies across multiple actors or domains.
  • D. policyInitiativePower
    Indicates the extent to which a policy initiative has the authority, influence, or capacity to effect change or achieve its intended outcomes.
  • E. politicalSphere
    Indicates involvement or relevance within the domain of politics, governance, or public policy activities and interactions.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2701b108190be39174d4534f231 completed March 27, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69c6f0323b2c819098ab72c33e6d8534 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:10 p.m.