Triple

T16466278
Position Surface form Disambiguated ID Type / Status
Subject Saint Wenceslas E399940 entity
Predicate alsoKnownAs P39 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: [Saint Wenceslas, alsoKnownAs, Václav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Václav
Context triple: [Saint Wenceslas, alsoKnownAs, 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. Václav Nechvíle
    Václav Nechvíle was a Czech astronomer known for his role in identifying and studying the Alpha Capricornids meteor shower.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcc52f88190958b408e49cfb512 completed April 18, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f575ed48190a24d6af74565189d completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:11 a.m.