Triple

T5770508
Position Surface form Disambiguated ID Type / Status
Subject United States v. Leon E127319 entity
Predicate limitsExclusionaryRule P66320 FINISHED
Object yes 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: yes | Statement: [United States v. Leon, limitsExclusionaryRule, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: limitsExclusionaryRule
Context triple: [United States v. Leon, limitsExclusionaryRule, yes]
  • A. excludes
    Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
  • B. exemptedJurisdiction
    Indicates that one jurisdiction is officially excluded from the application, scope, or requirements that apply to other jurisdictions.
  • C. excludedFrom
    Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
  • D. exclusionBasis
    Indicates the reason or criterion used to exclude an entity from a set, process, or consideration.
  • E. exemptedFrom
    Indicates that an entity is not subject to, or is formally released from, a rule, obligation, requirement, or liability that would otherwise apply.
  • F. None of above. chosen

Provenance (4 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02acb12c081908e4beee4a957f9f9 completed March 22, 2026, 5:45 p.m.
PD Predicate disambiguation batch_69c021ce8d3c81909b332cb1c33a61ad completed March 22, 2026, 5:07 p.m.
PDg Predicate description generation batch_69c02ac9603481909e3fa295d7904a15 completed March 22, 2026, 5:45 p.m.
Created at: March 22, 2026, 3:50 p.m.