Triple

T25237669
Position Surface form Disambiguated ID Type / Status
Subject North–South divide in the United Kingdom E632381 entity
Predicate associatedWithPolicyDebate P57644 FINISHED
Object regional development policy 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: regional development policy | Statement: [North–South divide in the United Kingdom, associatedWithPolicyDebate, regional development policy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithPolicyDebate
Context triple: [North–South divide in the United Kingdom, associatedWithPolicyDebate, regional development policy]
  • A. inspiredPolicyDebate
    Indicates that one entity’s ideas, actions, or statements sparked or significantly influenced a policy debate involving another entity.
  • B. relatedToDebate
    Indicates a relationship in which something is connected or relevant to a debate, discussion, or argumentative exchange.
  • C. fieldOfDebate chosen
    Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
  • D. replacedInPolicyDebateBy
    Indicates that one position, proposal, or argument in a policy debate has been superseded or substituted by another.
  • E. debatedWithin
    Indicates that something is discussed or argued about within a particular group, context, or domain.
  • 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_69e75a8ec5f88190b9eba06ae42b413a completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f7b2f3a104819098ddd8909eaf596c completed May 3, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69f7b1b8a9fc8190a1279e67a2d12707 completed May 3, 2026, 8:36 p.m.
Created at: April 21, 2026, 1:07 p.m.