Triple

T849682
Position Surface form Disambiguated ID Type / Status
Subject Erasmus+ Partner Countries E18355 entity
Predicate includes P1393 FINISHED
Object Russian Federation E10011 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: Russian Federation | Statement: [Erasmus+ Partner Countries, includes, Russian Federation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russian Federation
Context triple: [Erasmus+ Partner Countries, includes, Russian Federation]
  • A. Russia chosen
    Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
  • B. Rus'
    Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
  • 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. Soviet Union
    The Soviet Union was a socialist superpower that dominated Eastern Europe and led the communist bloc during the Cold War.
  • E. Russia and Mongolia
    Russia and Mongolia are neighboring countries in northern Eurasia that share a long land border across the Central Asian steppe and mountain regions.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac1fac3481909cba7070ce31a9b3 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad795f4874819087c47f1fd989ccff completed March 8, 2026, 1:27 p.m.
Created at: March 1, 2026, 7:38 p.m.