Triple

T234508
Position Surface form Disambiguated ID Type / Status
Subject Privy Council E4478 entity
Predicate roleInEducation P4140 FINISHED
Object approval of university titles in the UK 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: approval of university titles in the UK | Statement: [Privy Council, roleInEducation, approval of university titles in the UK]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInEducation
Context triple: [Privy Council, roleInEducation, approval of university titles in the UK]
  • A. hasEducationalRole chosen
    Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
  • B. hasTeachingRole
    Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
  • C. roleInvolves
    Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
  • D. studiedUnder
    Indicates that one entity received instruction, training, or mentorship from another, typically in an academic or apprenticeship context.
  • E. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25f14f72081908182e76300b59358 completed Feb. 28, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69a25b5c8c888190b5544e687736b373 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.