Triple

T9420153
Position Surface form Disambiguated ID Type / Status
Subject New York Environmental Conservation Law E227129 entity
Predicate hasRemedies P2242 FINISHED
Object civil penalties for violations 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: civil penalties for violations | Statement: [New York Environmental Conservation Law, hasRemedies, civil penalties for violations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRemedies
Context triple: [New York Environmental Conservation Law, hasRemedies, civil penalties for violations]
  • A. hasRemedy
    Indicates that one entity serves as a remedy, treatment, or corrective measure for a problem, condition, or undesirable state associated with another entity.
  • B. hasRemediationStatus
    Indicates the current state or progress of remediation efforts applied to an identified issue, risk, or non-compliance.
  • C. hasCommonTreatment
    Indicates that two or more entities share at least one treatment method or therapeutic approach in common.
  • D. remedy
    Indicates that one entity serves to cure, alleviate, or counteract a problem, illness, or undesirable condition affecting another entity.
  • E. remedySought chosen
    Indicates that a particular legal or corrective action is being requested as a solution or relief in response to a problem or dispute.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c2528c8819087b0a21e703254b7 completed April 1, 2026, 7:04 p.m.
PD Predicate disambiguation batch_69cca550777c819094e1851a6127cbbc completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:48 p.m.