Triple

T313748
Position Surface form Disambiguated ID Type / Status
Subject Elements of Crimes E7661 entity
Predicate appliesStandard P8823 FINISHED
Object beyond reasonable doubt 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: beyond reasonable doubt | Statement: [Elements of Crimes, appliesStandard, beyond reasonable doubt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesStandard
Context triple: [Elements of Crimes, appliesStandard, beyond reasonable doubt]
  • A. standardApplied chosen
    Indicates that a particular standard, rule, or guideline has been put into effect or used as the basis for an action or decision in the relationship.
  • B. usesStandard
    Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
  • C. standardizedIn
    Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
  • D. appliesAt
    Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
  • E. standardizedBy
    Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea4bd6a081909bdb57602c7093b4 completed Feb. 28, 2026, 1:14 p.m.
PD Predicate disambiguation batch_69a2e9428098819089d5950cd2c96dc4 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:07 p.m.