Triple

T4852182
Position Surface form Disambiguated ID Type / Status
Subject General Assembly of Bishops E108441 entity
Predicate topicOfDeliberation P57644 FINISHED
Object liturgy and sacramental practice 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: liturgy and sacramental practice | Statement: [General Assembly of Bishops, topicOfDeliberation, liturgy and sacramental practice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: topicOfDeliberation
Context triple: [General Assembly of Bishops, topicOfDeliberation, liturgy and sacramental practice]
  • A. debateTopic
    Indicates that one entity serves as the subject or issue being discussed or argued about in a debate involving another entity.
  • B. fieldOfDebate chosen
    Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
  • C. mainDebateTopic
    Indicates that a specified subject or issue is the primary focus or central topic of a particular debate or discussion.
  • D. politicalIssueIn
    Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
  • E. deliberativeNature
    Indicates that the action or process involves careful consideration, discussion, or weighing of options before reaching a decision.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddd17d881909f7731ff2b460e83 completed March 20, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69bd6c2557388190a2d15571bacd24f3 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:26 p.m.