Triple

T12833395
Position Surface form Disambiguated ID Type / Status
Subject Stavka of the Red Army E306842 entity
Predicate alternativeName P39 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: [Stavka of the Red Army, alternativeName, Stavka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stavka
Context triple: [Stavka of the Red Army, alternativeName, 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. Starina
    Starina is the flamboyant drag stage persona of Albert Goldman in the film "The Birdcage."
  • D. 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.
  • E. Zastavna
    Zastavna is a small town in western Ukraine that serves as a local administrative and cultural center within Chernivtsi Oblast.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb1c7248190bb6e644e041d192e completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed8d20081908e0fb5262b354cab completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:34 p.m.