Triple

T399177
Position Surface form Disambiguated ID Type / Status
Subject Soviet Don Front E9240 entity
Predicate subordinateTo P258 FINISHED
Object Stavka
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
 E50411 NE FINISHED

How this triple was built (4 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 Don Front, subordinateTo, Stavka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stavka
Context triple: [Soviet Don Front, subordinateTo, Stavka]
  • A. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • B. Poglavnik
    Poglavnik was the title used for the fascist leader of the World War II-era Independent State of Croatia, most notably held by Ante Pavelić.
  • C. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • D. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • E. Sluha Narodu
    Sluha Narodu is a Ukrainian political party founded around Volodymyr Zelenskyy and named after his popular satirical TV series about an everyman who becomes president.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stavka
Triple: [Soviet Don Front, subordinateTo, Stavka]
Generated description
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stavka
Target entity description: Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
  • A. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • B. Poglavnik
    Poglavnik was the title used for the fascist leader of the World War II-era Independent State of Croatia, most notably held by Ante Pavelić.
  • C. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • D. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • E. Sluha Narodu
    Sluha Narodu is a Ukrainian political party founded around Volodymyr Zelenskyy and named after his popular satirical TV series about an everyman who becomes president.
  • F. None of above. chosen

Provenance (5 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8d0ca881909d786e8eed9b6748 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a40ad94f88819082f718548331037b completed March 1, 2026, 9:46 a.m.
NEDg Description generation batch_69a40cdbc3d48190be0716621ded5942 completed March 1, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_69a40d3376648190aca839b9a56d4edd completed March 1, 2026, 9:56 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.