Triple

T24407174
Position Surface form Disambiguated ID Type / Status
Subject AV. E615342 entity
Predicate isSubjectToRegulator P1313 FINISHED
Object Financial Conduct Authority 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: Financial Conduct Authority | Statement: [AV., isSubjectToRegulator, Financial Conduct Authority]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSubjectToRegulator
Context triple: [AV., isSubjectToRegulator, Financial Conduct Authority]
  • A. subjectToRegulation
    Indicates that an entity is governed, constrained, or controlled by a specific rule, law, or regulatory framework.
  • B. hasRegulatedBy
    Indicates that one entity is subject to control, governance, or rules imposed by another entity.
  • C. isSubjectTo chosen
    Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
  • D. hasRegulatoryMarket
    Indicates that an entity is subject to, or operates within, a specific regulatory framework or market oversight regime.
  • E. hasRegulatedEntityType
    Indicates that an entity is subject to regulation specifically because it belongs to a particular regulated category or type.
  • 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_69e2d7e780bc81908049c779e697a7f6 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2957e8d5c8190bfed93aa308eb523 completed April 29, 2026, 11:34 p.m.
PD Predicate disambiguation batch_69f287cc4fd4819081e93cc638d9512d completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2:05 a.m.