Triple

T900842
Position Surface form Disambiguated ID Type / Status
Subject Prudential Regulation Authority E19441 entity
Predicate regulatoryFocus P31 FINISHED
Object safety and soundness of firms 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: safety and soundness of firms | Statement: [Prudential Regulation Authority, regulatoryFocus, safety and soundness of firms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatoryFocus
Context triple: [Prudential Regulation Authority, regulatoryFocus, safety and soundness of firms]
  • A. regulatoryType
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • B. focusesOn chosen
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • C. primaryRegulator
    Indicates that one entity serves as the main controlling or governing authority over another entity or process.
  • D. brandFocus
    Indicates that a brand primarily concentrates its efforts, messaging, or resources on a particular target, theme, or market segment.
  • E. regulatoryDomain
    Indicates that one entity defines or governs the rules, policies, or constraints under which another entity must operate.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad42ecac81909f8bc554d2fe0363 completed March 1, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69a4aa979d408190b17ccfde132ea628 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.