Triple

T8582147
Position Surface form Disambiguated ID Type / Status
Subject Vyacheslav E203208 entity
Predicate hasVariant P455 FINISHED
Object Václav E440805 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: Václav | Statement: [Vyacheslav, hasVariant, Václav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Václav
Context triple: [Vyacheslav, hasVariant, Václav]
  • A. Václav chosen
    Václav is a common Czech male given name, historically borne by several notable figures including saints, nobles, and modern politicians.
  • B. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • C. Emil Hácha
    Emil Hácha was a Czech lawyer and politician who served as the last president of Czechoslovakia before and during its dismemberment under Nazi pressure.
  • D. Gustáv
    Gustáv is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • E. Edvard Beneš
    Edvard Beneš was a prominent Czech statesman who served as the second President of Czechoslovakia and a key leader in the country’s resistance and diplomacy during both World Wars.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1bbbd8819082670286a711826d completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89b6d7f081908eecf0dd901e6bef completed April 2, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:22 p.m.