Triple

T3108375
Position Surface form Disambiguated ID Type / Status
Subject Prince-Bishopric of Minden E64889 entity
Predicate secularization P26074 FINISHED
Object 1648 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: 1648 | Statement: [Prince-Bishopric of Minden, secularization, 1648]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secularization
Context triple: [Prince-Bishopric of Minden, secularization, 1648]
  • 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. hasSecularAspects
    Indicates that something includes or exhibits non-religious, worldly, or secular characteristics or dimensions.
  • D. hasSecularUse
    Indicates that something is used in a non-religious, worldly, or secular context or purpose.
  • E. modernization
    Indicates a process by which something is updated, reformed, or transformed to align with contemporary standards, technologies, or practices.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29eacc88190a19c5ca8e53e3dca completed March 8, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69ad9df25d4c81908ff0f6cff55d0563 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:04 p.m.