Triple

T7296111
Position Surface form Disambiguated ID Type / Status
Subject Wenzel E164524 entity
Predicate cognateWith P2525 FINISHED
Object Wenceslas E399940 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: Wenceslas | Statement: [Wenzel, cognateWith, Wenceslas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wenceslas
Context triple: [Wenzel, cognateWith, Wenceslas]
  • A. Wenceslaus
    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 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.
  • C. Saint Wenceslas chosen
    Saint Wenceslas is a 10th-century Bohemian duke and Christian martyr revered as the patron saint of the Czech nation and a symbol of Czech statehood.
  • D. Ludvík
    Ludvík is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures.
  • E. Ottokar
    Ottokar is a Germanic given name, historically borne by several Central European nobles and rulers, particularly in Austria and 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8d0c6c8190b32cd08b9a5d96cc completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810c167848190a70f4e43c19f5809 completed March 28, 2026, 5:32 p.m.
Created at: March 27, 2026, 3 p.m.