Triple

T3193156
Position Surface form Disambiguated ID Type / Status
Subject Prince-Bishopric of Paderborn E66870 entity
Predicate wasSecularized P26074 FINISHED
Object yes 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: yes | Statement: [Prince-Bishopric of Paderborn, wasSecularized, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasSecularized
Context triple: [Prince-Bishopric of Paderborn, wasSecularized, yes]
  • A. underwentSecularization chosen
    Indicates that an entity experienced a process in which religious control, influence, or character was reduced or removed, often transferring authority or function to secular institutions or principles.
  • B. secularizationEra
    Indicates the historical period during which a society, institution, or practice becomes less influenced by religion and more oriented toward secular principles.
  • C. hasSecularUse
    Indicates that something is used in a non-religious, worldly, or secular context or purpose.
  • D. governingBodyAfterSecularization
    Indicates the authority or organization that serves as the governing body of an entity after a process of secularization has taken place.
  • E. hasSecularAspects
    Indicates that something includes or exhibits non-religious, worldly, or secular characteristics or dimensions.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada713bf0c81908f3143f45f63a5ad completed March 8, 2026, 4:42 p.m.
PD Predicate disambiguation batch_69ad9e04290481909092ddfbe6fdaabc completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:07 p.m.