Triple

T727064
Position Surface form Disambiguated ID Type / Status
Subject 1st Ukrainian Front E14749 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: [1st Ukrainian Front, subordinateTo, Stavka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stavka
Context triple: [1st Ukrainian 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. Po Delta
    The Po Delta is a vast, low-lying river delta in northeastern Italy where the Po River empties into the Adriatic Sea, known for its wetlands, biodiversity, and agricultural landscapes.
  • C. Pobeda
    Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
  • D. Jatki
    Jatki is a regional dialect of the Saraiki language spoken primarily in parts of Pakistan.
  • E. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a9adf08190bf2baade7e2e1c1c completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6375e24248190b53efa0bfc29567a completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:37 p.m.