Triple

T6999046
Position Surface form Disambiguated ID Type / Status
Subject California Office of Administrative Law E162287 entity
Predicate appliesRegulatoryStandard P73494 FINISHED
Object clarity 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: clarity | Statement: [California Office of Administrative Law, appliesRegulatoryStandard, clarity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesRegulatoryStandard
Context triple: [California Office of Administrative Law, appliesRegulatoryStandard, clarity]
  • A. regulatoryStandard
    Indicates that one entity serves as an official rule, guideline, or benchmark that governs, constrains, or evaluates the behavior, quality, or performance of another entity.
  • B. supportsRegulation
    Indicates that one entity endorses, backs, or advocates for the implementation or continuation of a specific regulation.
  • 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. associatedWithRegulation
    Indicates a relationship where something is linked to, governed by, or relevant to a specific regulation or regulatory framework.
  • E. regulatesOrStandardizes
    Indicates that one entity establishes, enforces, or defines rules, norms, or standards that govern the behavior, quality, or operation of another entity.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbf083b481909dd30e28e908dfdf completed March 27, 2026, 7:35 p.m.
PD Predicate disambiguation batch_69c6d7c67c94819084fdcf0398606027 completed March 27, 2026, 7:17 p.m.
PDg Predicate description generation batch_69c6d8c575f081908b43d95d1d99b1a4 completed March 27, 2026, 7:21 p.m.
Created at: March 27, 2026, 2:33 p.m.