Triple

T2304506
Position Surface form Disambiguated ID Type / Status
Subject Protestant Church in the Netherlands E51806 entity
Predicate hasReformedSection P17297 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: [Protestant Church in the Netherlands, hasReformedSection, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReformedSection
Context triple: [Protestant Church in the Netherlands, hasReformedSection, yes]
  • A. isPartOfReform
    Indicates that an action, measure, or component belongs to, contributes to, or is included within a broader reform initiative or process.
  • B. hasSect chosen
    Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
  • C. hadRankStructureReformedIn
    Indicates that an entity’s rank structure was reorganized, modified, or reformed during a specified time or in a specified context.
  • D. hasReformEffort
    Indicates that an entity undertakes, is involved in, or is the subject of a deliberate effort to change, improve, or restructure a system, policy, or practice.
  • E. scriptAfterReform
    Indicates that one script or writing system is used after a reform or modification has been applied to another script.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abce1f4f0c8190a714e4dcb8449f7e completed March 7, 2026, 7:05 a.m.
PD Predicate disambiguation batch_69abc58ce2a081908ce2f0cadd92e9f8 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.