Triple

T931198
Position Surface form Disambiguated ID Type / Status
Subject Regulation Z E20095 entity
Predicate formerLegalCitation P21534 FINISHED
Object 12 CFR Part 226 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: 12 CFR Part 226 | Statement: [Regulation Z, formerLegalCitation, 12 CFR Part 226]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerLegalCitation
Context triple: [Regulation Z, formerLegalCitation, 12 CFR Part 226]
  • A. legalCitation
    Indicates that one legal document, case, or authority formally references or cites another as a source of legal support or precedent.
  • B. legalCitationType
    Indicates the specific kind or category of legal citation that characterizes the relationship between the citing and cited legal sources.
  • C. usedInLegalCitation
    Indicates that one entity is referenced or relied upon as an authoritative source within a legal citation to support legal arguments or decisions.
  • D. constitutionalCitation
    Indicates a relationship where one entity cites, references, or is grounded in a specific provision or article of a constitution.
  • E. legalCitationAbbreviation
    Indicates that one legal citation is an abbreviated or shortened form of another legal citation.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b34b302c81908fa32cb18f551493 completed March 1, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69a4b29876348190a29f4ff9878074a5 completed March 1, 2026, 9:41 p.m.
PDg Predicate description generation batch_69a4b2f4e3fc81908c8a2d1fbef9c5d2 completed March 1, 2026, 9:43 p.m.
Created at: March 1, 2026, 7:40 p.m.