Triple

T26105939
Position Surface form Disambiguated ID Type / Status
Subject Sacraments of the Sick E658534 entity
Predicate canonicalRegulation P60455 FINISHED
Object Code of Canon Law NE NERFINISHED

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: Code of Canon Law | Statement: [Sacraments of the Sick, canonicalRegulation, Code of Canon Law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canonicalRegulation
Context triple: [Sacraments of the Sick, canonicalRegulation, Code of Canon Law]
  • A. regulatoryStandard
    Indicates that one entity serves as an official rule, guideline, or benchmark that governs, constrains, or evaluates the behavior, quality, or performance of another entity.
  • B. regulationAtIssue
    Indicates that a specific regulation is the subject of concern, dispute, or analysis in the given context.
  • C. allowsRegulationOf
    Indicates that one entity grants the authority, means, or conditions for another entity to control, manage, or govern something.
  • D. relatedRegulation chosen
    Indicates that there exists a regulatory rule, law, or directive that is associated with, governs, or is otherwise relevant to the referenced entity or activity.
  • E. categoryForRegulation
    Indicates that something is assigned to a specific regulatory category or classification for the purposes of applying rules or controls.
  • 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_69ee5bc09c288190bc42a11972841383 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f607774de48190ba59eb5bfeaf3d5d completed May 2, 2026, 2:17 p.m.
PD Predicate disambiguation batch_69f602d07590819085ac34b189613104 completed May 2, 2026, 1:57 p.m.
Created at: April 26, 2026, 7:58 p.m.