Triple

T10613440
Position Surface form Disambiguated ID Type / Status
Subject Kirpan E276060 entity
Predicate legalDebate P57644 FINISHED
Object religious freedom vs public safety 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: religious freedom vs public safety | Statement: [Kirpan, legalDebate, religious freedom vs public safety]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalDebate
Context triple: [Kirpan, legalDebate, religious freedom vs public safety]
  • A. legalAndEthicalDebate
    Indicates a relationship where an issue, action, or decision is the subject of ongoing discussion and disagreement concerning both its legality and its ethical acceptability.
  • B. fieldOfDebate chosen
    Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
  • C. legalStatusDebatedBy
    Indicates that the legal status of an entity is the subject of dispute, discussion, or controversy among parties or authorities.
  • D. debatedWithin
    Indicates that something is discussed or argued about within a particular group, context, or domain.
  • E. constitutionalDebate
    Indicates a relationship where parties are engaged in discussing, disputing, or interpreting the meaning, scope, or application of a constitution.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df5ca94c8190aa3771925913defc completed April 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69d6dd7a223c8190854409d76368f3e8 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 7:33 p.m.