Triple

T35911955
Position Surface form Disambiguated ID Type / Status
Subject Duchess of Albret E1038639 entity
Predicate religiousAffiliationOfHolder P45 FINISHED
Object Protestantism 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: Protestantism | Statement: [Duchess of Albret, religiousAffiliationOfHolder, Protestantism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousAffiliationOfHolder
Context triple: [Duchess of Albret, religiousAffiliationOfHolder, Protestantism]
  • A. religiousAffiliation chosen
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • B. religionOfStateServed
    Indicates that a particular religion is officially associated with, endorsed by, or established as the state religion of a given state or country.
  • C. religiousAffiliationOfPatron
    Indicates the religious affiliation or denomination associated with the patron involved in the relationship or action.
  • D. religionOfKeyCommander
    Indicates the religious affiliation associated with a key commander.
  • E. roleInStateReligion
    Indicates that an entity holds a specific function, position, or involvement within the officially recognized religion of a state.
  • 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_69f76e2259608190bf6788a132e0d139 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ffc3f0b19c8190b5a749bc3cad21dd completed May 9, 2026, 11:32 p.m.
PD Predicate disambiguation batch_69ffc1b882808190932b2d43ea5537c9 completed May 9, 2026, 11:22 p.m.
Created at: May 3, 2026, 4:07 p.m.