Triple

T11382521
Position Surface form Disambiguated ID Type / Status
Subject Soviet Southern Front E269631 entity
Predicate subordinateTo P258 FINISHED
Object Stavka E50411 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: Stavka | Statement: [Soviet Southern Front, subordinateTo, Stavka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stavka
Context triple: [Soviet Southern Front, subordinateTo, Stavka]
  • A. Stavka chosen
    Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
  • B. Stiva
    Stiva is the familiar nickname of Stepan Arkadyevich Oblonsky, a charming, pleasure-loving Moscow nobleman and key supporting character in Leo Tolstoy’s novel "Anna Karenina."
  • C. Stachka
    Stachka is a 1925 Soviet silent film directed by Sergei Eisenstein that dramatizes a factory workers’ strike and is noted for its innovative montage techniques.
  • D. Zastavna
    Zastavna is a small town in western Ukraine that serves as a local administrative and cultural center within Chernivtsi Oblast.
  • E. Istebna
    Istebna is a village in southern Poland known as a popular mountain resort and cultural center of the Silesian Beskids region.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc34f1f0819082dd977313ee6070 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a99c8c8190b7439a548216e648 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:34 p.m.