Triple

T34454172
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Wallis and Futuna E884456 entity
Predicate majorityReligionOfTerritory P2986 FINISHED
Object Catholicism 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: Catholicism | Statement: [Bishop of Wallis and Futuna, majorityReligionOfTerritory, Catholicism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorityReligionOfTerritory
Context triple: [Bishop of Wallis and Futuna, majorityReligionOfTerritory, Catholicism]
  • A. dominantReligion chosen
    Indicates the religion that holds primary or majority status within a given group, region, or entity.
  • B. laterReligionDominant
    Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or entity.
  • C. majorityReligionInUrbanAreas
    Indicates that a specified religion is the predominant or most widely practiced faith within the urban areas of a given region or population.
  • D. religionInCountry
    Indicates that a particular religion is practiced, present, or recognized within a specified country.
  • E. dominantReligionLegacy
    Indicates that a historically dominant religion has left a lasting influence or heritage on a society, culture, or region.
  • 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_69f349c607688190b553539d14901a35 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff49f888348190b9c55afa73b99e6a completed May 9, 2026, 2:51 p.m.
PD Predicate disambiguation batch_69ff49614ef88190ac70b034c55ad738 completed May 9, 2026, 2:49 p.m.
Created at: May 1, 2026, 2 a.m.