Triple

T8355922
Position Surface form Disambiguated ID Type / Status
Subject Geary Act E196680 entity
Predicate legalStatusOfNoncompliance P82264 FINISHED
Object misdemeanor 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: misdemeanor | Statement: [Geary Act, legalStatusOfNoncompliance, misdemeanor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusOfNoncompliance
Context triple: [Geary Act, legalStatusOfNoncompliance, misdemeanor]
  • A. accusationsOfNonComplianceBy
    Indicates that one party has formally alleged that another party has failed to meet required rules, standards, or obligations.
  • B. riskIfNoncompliance
    Indicates that a risk or negative consequence will occur if the specified rules, requirements, or obligations are not complied with.
  • C. legalStatusNote
    Indicates a note or comment that provides additional information or clarification about the legal status of something.
  • D. legalStatusAtIssue
    Indicates that the legal status of an entity is the central subject of dispute, consideration, or determination in a legal context.
  • E. legalConstraint
    Indicates that one entity imposes or is subject to a rule, restriction, or requirement defined by a legal or regulatory framework in relation to another entity or action.
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb804a344c819089c0a13fe66e3088 completed March 31, 2026, 8:05 a.m.
PD Predicate disambiguation batch_69cb70ca25548190b0f90c5384e3fb3c completed March 31, 2026, 6:59 a.m.
PDg Predicate description generation batch_69cb76d823b08190a54fadb50660cda5 completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 5:59 p.m.