Triple

T12559053
Position Surface form Disambiguated ID Type / Status
Subject Petrovna E295292 entity
Predicate usageRegion P908 FINISHED
Object former Soviet Union E363 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: former Soviet Union | Statement: [Petrovna, usageRegion, former Soviet Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: former Soviet Union
Context triple: [Petrovna, usageRegion, former Soviet Union]
  • A. Soviet Union chosen
    The Soviet Union was a socialist superpower that dominated Eastern Europe and led the communist bloc during the Cold War.
  • B. Soviet Socialist Republics
    The Soviet Socialist Republics were the constituent republic-level units of the Soviet Union, each nominally sovereign but centrally controlled by the communist government in Moscow.
  • C. АН СССР
    АН СССР was the highest scientific institution of the Soviet Union, overseeing and coordinating research across a wide range of scientific disciplines.
  • D. Russian SFSR
    The Russian SFSR was the largest and most influential republic of the former Soviet Union, encompassing much of its political, economic, and cultural center.
  • E. Marshal Sovetskogo Soyuza
    Marshal Sovetskogo Soyuza was the highest military rank in the Soviet Union, equivalent to a five-star marshal and typically held by top commanders and defense ministers.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95491d9688190a6b88a939124233e completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af43f2188190b0e78f22dc6ba3f8 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 11:48 p.m.