Triple

T5178912
Position Surface form Disambiguated ID Type / Status
Subject Wenceslaus II of Bohemia E116867 entity
Predicate givenName P17 FINISHED
Object Wenceslaus E116867 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 II of Bohemia, givenName, Wenceslaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wenceslaus
Context triple: [Wenceslaus II of Bohemia, givenName, Wenceslaus]
  • 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. Ludvík
    Ludvík is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures.
  • D. Vratislav
    Vratislav is a historical Slavic personal name, borne by several medieval rulers and nobles in Central Europe, particularly in the Czech lands.
  • E. Wenceslaus II of Bohemia chosen
    Wenceslaus II of Bohemia was a 13th–14th century king of Bohemia and Poland from the Přemyslid dynasty, known for his political consolidation of Central Europe and extensive economic reforms based on silver mining.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79978a208190b2e5909795108327 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06ac60448190a2e97a4df03863ea completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:45 p.m.