Triple

T4972016
Position Surface form Disambiguated ID Type / Status
Subject special statute region E111673 entity
Predicate hasPolicyAreaAutonomy P21306 FINISHED
Object education (within limits) 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: education (within limits) | Statement: [special statute region, hasPolicyAreaAutonomy, education (within limits)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPolicyAreaAutonomy
Context triple: [special statute region, hasPolicyAreaAutonomy, education (within limits)]
  • A. hasPolicyArea
    Indicates that an entity (such as a policy, program, or initiative) is associated with or pertains to a specific policy area or domain.
  • B. hasAutonomyWithin chosen
    Indicates that one entity possesses independent decision-making power or self-governance within the scope, domain, or boundaries defined by another entity.
  • C. implementsPolicyArea
    Indicates that an entity carries out, enforces, or operationalizes a specific policy area in practice.
  • D. isPartOfPolicyArea
    Indicates that one policy, topic, or issue belongs to, falls under, or is categorized within a broader policy area or domain.
  • E. isResponsibleForPolicyArea
    Indicates that an entity has primary authority or accountability for developing, overseeing, or managing a particular policy area.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd730a7590819088ab8d49c5c88c2f completed March 20, 2026, 4:17 p.m.
PD Predicate disambiguation batch_69bd7146e6e881908a55ab2756b631f6 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:33 p.m.