Triple

T31464686
Position Surface form Disambiguated ID Type / Status
Subject CCEA Regulation E802692 entity
Predicate hasRegulatoryRoleSimilarTo P203343 FINISHED
Object Ofqual NE NERFINISHED

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: Ofqual | Statement: [CCEA Regulation, hasRegulatoryRoleSimilarTo, Ofqual]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRegulatoryRoleSimilarTo
Context triple: [CCEA Regulation, hasRegulatoryRoleSimilarTo, Ofqual]
  • A. oftenRegulatedSimilarlyTo
    Indicates that two entities are frequently subject to the same or comparable regulatory rules, standards, or oversight mechanisms.
  • B. regulatesOrIsRegulatedBy
    Indicates a bidirectional regulatory relationship in which one entity controls, influences, or modulates another, or is itself controlled, influenced, or modulated by that other entity.
  • C. regulationRole
    Indicates a role in which one entity regulates, controls, or modulates the behavior, activity, or state of another entity.
  • D. regulatoryType
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • E. associatedWithRegulation
    Indicates a relationship where something is linked to, governed by, or relevant to a specific regulation or regulatory framework.
  • 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_69f348c84c1c81908739f100ecf7394e completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a0164b052608190adc93240dad50a06 completed May 11, 2026, 5:10 a.m.
PD Predicate disambiguation batch_6a01637fd3ac8190970eb09650d1e659 completed May 11, 2026, 5:05 a.m.
PDg Predicate description generation batch_6a0164af262c8190876c9eb2421ad9a7 completed May 11, 2026, 5:10 a.m.
Created at: April 30, 2026, 9:22 p.m.