Triple

T20010762
Position Surface form Disambiguated ID Type / Status
Subject In eminenti apostolatus specula E494581 entity
Predicate religiousConcern P47348 FINISHED
Object protection of Catholic faith and morals 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: protection of Catholic faith and morals | Statement: [In eminenti apostolatus specula, religiousConcern, protection of Catholic faith and morals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousConcern
Context triple: [In eminenti apostolatus specula, religiousConcern, protection of Catholic faith and morals]
  • A. religiousTopicAddressed chosen
    Indicates that a subject deals with, discusses, or focuses on a religious theme, issue, or question.
  • B. religiousAttitude
    Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
  • C. religiousResponse
    Indicates a reaction, behavior, or expression that is specifically motivated by, shaped by, or directed toward religious beliefs, practices, or experiences.
  • D. subjectReligion
    Indicates that the subject is associated with, practices, or adheres to a particular religion.
  • E. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662362df48190abf16129eea39985 completed April 20, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69e54cdddbd48190becc8b2aa5ab4ef9 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:33 p.m.