Triple

T12388448
Position Surface form Disambiguated ID Type / Status
Subject Pascendi dominici gregis E295929 entity
Predicate disciplinaryMeasures P53691 FINISHED
Object requirements for diocesan vigilance committees 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: requirements for diocesan vigilance committees | Statement: [Pascendi dominici gregis, disciplinaryMeasures, requirements for diocesan vigilance committees]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disciplinaryMeasures
Context triple: [Pascendi dominici gregis, disciplinaryMeasures, requirements for diocesan vigilance committees]
  • A. disciplinaryMethod
    Indicates a method or approach used to discipline, correct, or control another party’s behavior.
  • B. disciplinaryRecord
    Indicates that there exists a documented history of disciplinary actions or sanctions associated with an entity.
  • C. disciplinaryFunction chosen
    Indicates a relationship where an entity serves to enforce rules, maintain order, or administer corrective measures within a system or organization.
  • D. dimensionOfStudy
    Indicates the specific field, aspect, or perspective that characterizes or structures a particular study or research activity.
  • E. isMultidisciplinary
    Indicates that something involves or integrates multiple distinct academic or professional disciplines in its approach or composition.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fcf6aa8819080c9a2407a72db2e completed April 10, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69d93ed256788190b704cad171a4824e completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:54 p.m.