Triple

T2079407
Position Surface form Disambiguated ID Type / Status
Subject UNSC E45203 entity
Predicate hasPermanentMember P20032 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: [UNSC, hasPermanentMember, Russian Federation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russian Federation
Context triple: [UNSC, hasPermanentMember, 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. Rusa
    Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
  • C. Russas
    Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
  • D. 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.
  • E. 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.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abbdc11a048190ba3bbc60f90f34e1 completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae26f2c7a48190a091e0e334845413 completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:41 p.m.