Triple

T3434688
Position Surface form Disambiguated ID Type / Status
Subject Danylo of Halych E72421 entity
Predicate givenName P17 FINISHED
Object Danylo E72421 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: Danylo | Statement: [Danylo of Halych, givenName, Danylo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danylo
Context triple: [Danylo of Halych, givenName, Danylo]
  • A. Danylo of Halych chosen
    Danylo of Halych was a 13th-century Ruthenian prince and later king who ruled the Kingdom of Galicia–Volhynia and played a key role in consolidating and defending the southwestern lands of Kievan Rus'.
  • B. Volodymyr
    Volodymyr is a historic city in western Ukraine known for its medieval heritage and role as a former center of the Volhynia region.
  • C. Pylyp Orlyk
    Pylyp Orlyk was an early 18th-century Cossack statesman and hetman in exile, best known for authoring one of Europe’s first constitutional documents outlining a democratic vision for the Cossack state.
  • D. Vasyl
    Vasyl is a common Ukrainian male given name, equivalent to Basil in English.
  • E. Lev I of Galicia
    Lev I of Galicia was a 13th-century Ruthenian prince who expanded and strengthened the Kingdom of Galicia–Volhynia, making Lviv his capital and a major political center in Eastern Europe.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c3300881909f5c3544f8923b41 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360cbcb60819095a28e50cac5a4ca completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:16 p.m.