Triple

T23378618
Position Surface form Disambiguated ID Type / Status
Subject Labouchere Amendment E593675 entity
Predicate penaltyMaximum P131772 FINISHED
Object two years imprisonment with or without hard labour 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: two years imprisonment with or without hard labour | Statement: [Labouchere Amendment, penaltyMaximum, two years imprisonment with or without hard labour]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: penaltyMaximum
Context triple: [Labouchere Amendment, penaltyMaximum, two years imprisonment with or without hard labour]
  • A. maximumPenaltySection1
    Indicates the legal provision that specifies the highest penalty allowed under section 1 of a statute or regulation.
  • B. maximumPenaltyForIndividuals chosen
    Indicates the highest allowable penalty that can be imposed on individual persons under a given rule, law, or policy.
  • C. penaltyMagnitude
    Indicates the size or severity of a penalty imposed in a given situation or relationship.
  • D. maximumPenaltyForOrganisations
    Indicates the highest level of penalty that can be imposed on organisations under a given rule or legal framework.
  • E. defaultPenalty
    Indicates that a standard or automatically applied penalty is imposed in the absence of a specific or overridden penalty.
  • 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b5e4f0819081a5d4586796677b completed April 29, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69f061c7aaa48190a58ce93f87155ffc completed April 28, 2026, 7:29 a.m.
Created at: April 17, 2026, 5:33 p.m.