Triple

T15093070
Position Surface form Disambiguated ID Type / Status
Subject Federal Rule of Evidence 1007 E360468 entity
Predicate evidentiaryCategory P3168 FINISHED
Object rule on proof of contents 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: rule on proof of contents | Statement: [Federal Rule of Evidence 1007, evidentiaryCategory, rule on proof of contents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: evidentiaryCategory
Context triple: [Federal Rule of Evidence 1007, evidentiaryCategory, rule on proof of contents]
  • A. usedEvidenceType chosen
    Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
  • B. providesEvidenceFor
    Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
  • C. excludesFromEvidence
    Indicates that something is intentionally omitted or disallowed from being considered as evidence in a given context.
  • D. hasEvidentials
    Indicates that a statement, claim, or information is accompanied by markers specifying the type or source of evidence supporting it.
  • E. appliesRulesOfEvidence
    Indicates that one party enforces or follows established rules of evidence in relation to another party or proceeding.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027925788190b955fdc6626adf7d completed April 15, 2026, 9:26 p.m.
PD Predicate disambiguation batch_69deb9645b9c8190a5712456dbd78029 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:04 a.m.