Triple

T10517528
Position Surface form Disambiguated ID Type / Status
Subject Advisory Circulars E248071 entity
Predicate relationshipToRegulations P58840 FINISHED
Object interpret and explain regulations 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: interpret and explain regulations | Statement: [Advisory Circulars, relationshipToRegulations, interpret and explain regulations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToRegulations
Context triple: [Advisory Circulars, relationshipToRegulations, interpret and explain regulations]
  • A. relatedRegulation
    Indicates that there exists a regulatory rule, law, or directive that is associated with, governs, or is otherwise relevant to the referenced entity or activity.
  • B. associatedWithRegulation chosen
    Indicates a relationship where something is linked to, governed by, or relevant to a specific regulation or regulatory framework.
  • C. hasRegulations
    Indicates that one entity imposes, contains, or is associated with rules or regulatory requirements that govern the behavior or operation of another entity.
  • D. subjectToRegulation
    Indicates that an entity is governed, constrained, or controlled by a specific rule, law, or regulatory framework.
  • E. alsoRegulates
    Indicates that an entity not only has a primary regulatory effect on a target but additionally regulates that same target through another, supplementary regulatory relationship.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cd0fb8819087de2f9a93bad6e6 completed April 7, 2026, 1:42 p.m.
PD Predicate disambiguation batch_69d4fb94fa10819091f585bab4379c6f completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:28 p.m.