Triple

T2545261
Position Surface form Disambiguated ID Type / Status
Subject Swiss Guard E57882 entity
Predicate religionRequirement P28879 FINISHED
Object Roman Catholic 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: Roman Catholic | Statement: [Swiss Guard, religionRequirement, Roman Catholic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religionRequirement
Context triple: [Swiss Guard, religionRequirement, Roman Catholic]
  • A. religiousAffiliationRequirement chosen
    Indicates that one entity requires another to have a specific religious affiliation as a condition for participation, membership, employment, or another form of involvement.
  • B. hasClergyRequirement
    Indicates that a role, position, or activity requires the person involved to be a member of the clergy or to hold a specific clerical status.
  • C. religiousRestriction
    Indicates that one entity imposes, experiences, or is subject to limitations or rules based on religious beliefs or practices in relation to another entity or context.
  • D. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • E. hasAssociatedReligion
    Indicates that an entity is connected with or linked to a particular religion.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2c285288190b41fc0188879623a completed March 7, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69abd0c63964819092d5f578195ae8dd completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:47 p.m.