Triple

T13887339
Position Surface form Disambiguated ID Type / Status
Subject Forest Conservation Act, 1980 E333879 entity
Predicate penalProvisionsInclude P1841 FINISHED
Object punishment for contravention of the Act 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: punishment for contravention of the Act | Statement: [Forest Conservation Act, 1980, penalProvisionsInclude, punishment for contravention of the Act]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: penalProvisionsInclude
Context triple: [Forest Conservation Act, 1980, penalProvisionsInclude, punishment for contravention of the Act]
  • A. penaltyProvision chosen
    Indicates that a rule, contract, or law includes a clause specifying a punishment or sanction for non-compliance or violation.
  • B. penaltyRules
    Indicates the rules or conditions under which penalties are defined, applied, or enforced in a given context.
  • C. criminalPenaltyDoesNotApplyTo
    Indicates that a specified criminal penalty is excluded or not applicable to a particular person, group, situation, or offense.
  • D. violationConsequences
    Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
  • E. isForConvictedOffenders
    Indicates that something is intended to apply to, be used by, or be relevant for individuals who have been legally convicted of offenses.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a281e481908a6184bcd7f59c03 completed April 14, 2026, 11:23 a.m.
PD Predicate disambiguation batch_69dd464b1ab48190ae50bfc902bf6ef7 completed April 13, 2026, 7:38 p.m.
Created at: April 9, 2026, 10:15 p.m.