Triple

T9498512
Position Surface form Disambiguated ID Type / Status
Subject Soviet invasion and occupation E229074 entity
Predicate invadingPower P56732 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: [Soviet invasion and occupation, invadingPower, Soviet Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soviet Russia
Context triple: [Soviet invasion and occupation, invadingPower, 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. Rusguniae
    Rusguniae was an important ancient coastal city in the Roman province of Mauretania Caesariensis, located in what is now northern Algeria.
  • 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. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ef06b88190b7a840caddea3e38 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18208ba9081909efa44f98f90c11a completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:56 p.m.