Triple

T3666868
Position Surface form Disambiguated ID Type / Status
Subject Alfred Leo Smith E77779 entity
Predicate causeOfLegalChange P6009 FINISHED
Object narrowing of constitutional protections for religious exemptions 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: narrowing of constitutional protections for religious exemptions | Statement: [Alfred Leo Smith, causeOfLegalChange, narrowing of constitutional protections for religious exemptions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfLegalChange
Context triple: [Alfred Leo Smith, causeOfLegalChange, narrowing of constitutional protections for religious exemptions]
  • A. hasLegalChange
    Indicates that an entity has undergone or is associated with a modification in its legal status, rights, obligations, or regulatory conditions.
  • B. reasonForChange chosen
    Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
  • C. legalReformer
    Indicates that an entity works to change, improve, or modernize laws or legal systems.
  • D. changeReason
    Indicates the reason or justification for a modification or change made to an entity or its state.
  • E. legalAmendment
    Indicates a formal change or modification made to an existing law, regulation, or legal document.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc402f5dc8190bd8d56a3c06e88f3 completed March 8, 2026, 6:46 p.m.
PD Predicate disambiguation batch_69adb84a20288190a092e4a1b045fe3f completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:25 p.m.