Triple

T27399962
Position Surface form Disambiguated ID Type / Status
Subject Princess of Schleswig-Holstein-Sonderburg-Augustenburg E691804 entity
Predicate endCauseOfEmpressRole P15555 FINISHED
Object abdication of Wilhelm II 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: abdication of Wilhelm II | Statement: [Princess of Schleswig-Holstein-Sonderburg-Augustenburg, endCauseOfEmpressRole, abdication of Wilhelm II]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: endCauseOfEmpressRole
Context triple: [Princess of Schleswig-Holstein-Sonderburg-Augustenburg, endCauseOfEmpressRole, abdication of Wilhelm II]
  • A. realmAsEmpress
    Indicates that an entity holds the position or role of empress over a specified realm or domain.
  • B. eraAsEmpress
    Indicates the time period during which a person held the role or status of empress.
  • C. reignAsEmpress
    Indicates that a person holds and exercises the supreme imperial authority in the role of empress over a realm or empire.
  • D. endOfReignReason chosen
    Indicates the cause or circumstance that led to the termination of a ruler’s reign.
  • E. associatedEmpress
    Indicates a relationship where an empress is linked or connected to another entity, such as a person, place, event, or object, in a relevant or context-specific way.
  • 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_69ef5204f7048190bf226a129858fc5b completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62cb371208190b672952c7b7fb605 completed May 2, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69f623aaf40081909f947431424a1d55 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 12:29 p.m.