Triple

T25464761
Position Surface form Disambiguated ID Type / Status
Subject In-Use Off-Road Diesel-Fueled Fleets Regulation E638142 entity
Predicate complianceConsequence P36372 FINISHED
Object enforcement actions by CARB 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: enforcement actions by CARB | Statement: [In-Use Off-Road Diesel-Fueled Fleets Regulation, complianceConsequence, enforcement actions by CARB]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: complianceConsequence
Context triple: [In-Use Off-Road Diesel-Fueled Fleets Regulation, complianceConsequence, enforcement actions by CARB]
  • A. violationConsequences chosen
    Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
  • B. riskIfNoncompliance
    Indicates that a risk or negative consequence will occur if the specified rules, requirements, or obligations are not complied with.
  • C. consequenceOfRevocation
    Indicates that something occurs as a direct result of a prior revocation event or decision.
  • D. legalStatusOfNoncompliance
    Indicates the legal characterization or consequences assigned to an instance of noncompliance with a rule, law, or obligation.
  • E. consequenceOfCertification
    Indicates that something occurs as a result of, or is caused by, a particular certification.
  • 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_69e75db8bab08190baca80b4a8c315fd completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f61f12b0f08190bc4a16907941864c completed May 2, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69f61b37a5648190b10d33ae205ccfee completed May 2, 2026, 3:41 p.m.
Created at: April 21, 2026, 2:14 p.m.