Triple

T1009377
Position Surface form Disambiguated ID Type / Status
Subject Don Front E21785 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: [Don Front, subordinateTo, Stavka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stavka
Context triple: [Don 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. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • C. Stiris
    Stiris was an ancient Greek city in the region of Phocis, known as one of its notable urban centers in classical antiquity.
  • D. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • E. 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.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7a3cb608190a2de34a09cd55146 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3ba9406c81909a13375fea05ee99 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.