Triple

T823611
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm II, German Emperor E17803 entity
Predicate familyName P18 FINISHED
Object von Preußen E10584 NE 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: von Preußen | Statement: [Wilhelm II, German Emperor, familyName, von Preußen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Preußen
Context triple: [Wilhelm II, German Emperor, familyName, von Preußen]
  • A. Prussia chosen
    Prussia was a historically powerful German state and kingdom that became a leading military and political force in Europe, ultimately playing a central role in the unification of Germany.
  • B. King of Prussia
    King of Prussia is a major suburban community in Montgomery County, Pennsylvania, best known for its large shopping mall and commercial center.
  • C. Friedrich
    Friedrich is the given first name of the German philosopher, logician, and mathematician Gottlob Frege.
  • D. Friedrich
    Friedrich is the given first name of the renowned German mathematician Bernhard Riemann.
  • E. Friedrich
    Friedrich is a German masculine given name of Old High German origin, commonly borne by historical figures and nobility.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab7d3984819089aefbf12d3b3c2c completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d93af548190818c14a370e0914a completed March 3, 2026, 11:24 p.m.
Created at: March 1, 2026, 7:38 p.m.