Triple

T13921076
Position Surface form Disambiguated ID Type / Status
Subject Wenceslaus III of Bohemia E334742 entity
Predicate givenName P17 FINISHED
Object Wenceslaus E353024 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: Wenceslaus | Statement: [Wenceslaus III of Bohemia, givenName, Wenceslaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wenceslaus
Context triple: [Wenceslaus III of Bohemia, givenName, Wenceslaus]
  • A. Wenceslaus chosen
    Wenceslaus was the birth name of Charles IV, the 14th-century Holy Roman Emperor and King of Bohemia from the House of Luxembourg.
  • B. Wenceslaus
    Wenceslaus was a member of the Habsburg dynasty, known as an Austrian archduke from the late Middle Ages.
  • C. Ottokar
    Ottokar is a Germanic given name, historically borne by several Central European nobles and rulers, particularly in Austria and Bohemia.
  • D. Wenceslaus I of Bohemia
    Wenceslaus I of Bohemia was a 13th-century Přemyslid king known for consolidating royal power in Bohemia and resisting the Mongol incursions into Central Europe.
  • E. John Henry of Moravia
    John Henry of Moravia was a 14th-century Bohemian nobleman and Margrave of Moravia from the Luxembourg dynasty, known for his role in the politics of the Kingdom of Bohemia.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa428ac819084e7c4b244d15f20 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd6474da3081909be6b892ef8cc73e completed May 8, 2026, 4:20 a.m.
Created at: April 9, 2026, 10:16 p.m.