Triple

T33849912
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese of Auki E867592 entity
Predicate PeterHouhouReligiousStatus P6453 FINISHED
Object secular clergy 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: secular clergy | Statement: [Roman Catholic Diocese of Auki, PeterHouhouReligiousStatus, secular clergy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: PeterHouhouReligiousStatus
Context triple: [Roman Catholic Diocese of Auki, PeterHouhouReligiousStatus, secular clergy]
  • A. hostReligion
    Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, event, or practice.
  • B. religiousTextStatus
    Indicates the status or role that a text holds within a religious tradition, such as whether it is considered sacred, canonical, apocryphal, or otherwise classified.
  • C. hasReligious
    Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
  • D. hasReligiousCharacter
    Indicates that an entity possesses a religious nature, function, or affiliation, or is characterized by religious aspects or significance.
  • E. religiousStatus chosen
    Indicates the religious affiliation, role, or standing that an entity holds within a religious context.
  • 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_69f349937b648190a34ada70f6a2b534 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f700714a908190ba78a2e5ac4c0261 completed May 3, 2026, 7:59 a.m.
PD Predicate disambiguation batch_69f6fc59518081908b0275f47721d561 completed May 3, 2026, 7:42 a.m.
Created at: May 1, 2026, 1:47 a.m.