Triple

T8745762
Position Surface form Disambiguated ID Type / Status
Subject Chairman of the Cheka E207823 entity
Predicate country P26 FINISHED
Object Soviet Russia 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: Soviet Russia | Statement: [Chairman of the Cheka, country, Soviet Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soviet Russia
Context triple: [Chairman of the Cheka, country, Soviet Russia]
  • 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. АН СССР
    АН СССР was the highest scientific institution of the Soviet Union, overseeing and coordinating research across a wide range of scientific disciplines.
  • C. 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.
  • D. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • E. Soviets
    Soviets were grassroots councils of workers, soldiers, and peasants that emerged as powerful political organs during the Russian Revolution and became a foundational element of the Soviet state.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d745e0081909cab216593d5c01b completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0771920819081f191567c7e9fd2 completed April 3, 2026, 2:36 p.m.
Created at: March 30, 2026, 6:39 p.m.