Triple

T14574971
Position Surface form Disambiguated ID Type / Status
Subject Ulrich, Duke of Württemberg E342017 entity
Predicate causeOfRestoration P59732 FINISHED
Object support from Protestant princes 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: support from Protestant princes | Statement: [Ulrich, Duke of Württemberg, causeOfRestoration, support from Protestant princes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfRestoration
Context triple: [Ulrich, Duke of Württemberg, causeOfRestoration, support from Protestant princes]
  • A. restorationReason chosen
    Indicates the reason or justification for which something that was previously removed, disabled, or altered has been restored to its former state.
  • B. restorationGoal
    Indicates that an action or plan is intended to return something to a previous, original, or improved state or condition.
  • C. restoredBy
    Indicates that an entity has been returned to a previous or improved state through the actions or intervention of another entity.
  • D. preservationCause
    Indicates that one entity is the reason or factor responsible for preserving, maintaining, or keeping another entity in its existing state or condition.
  • E. restorationType
    Indicates the specific kind or category of restoration applied to an entity, such as the method, scope, or approach used to return it to a prior or improved 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f49d58819094fcd2a702e146cb completed April 14, 2026, 9:39 p.m.
PD Predicate disambiguation batch_69de656a953481909a4645b004c40de7 completed April 14, 2026, 4:03 p.m.
Created at: April 10, 2026, 1:24 a.m.