Triple

T20768736
Position Surface form Disambiguated ID Type / Status
Subject STS-71 E511168 entity
Predicate internationalCooperation P32971 FINISHED
Object United States–Russia NE NERFINISHED

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: United States–Russia | Statement: [STS-71, internationalCooperation, United States–Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States–Russia
Context triple: [STS-71, internationalCooperation, United States–Russia]
  • A. Russo–American relations chosen
    Russo–American relations refers to the historical and contemporary diplomatic, political, economic, and military interactions between Russia (and its predecessor states) and the United States.
  • B. United States–Soviet Union relations
    United States–Soviet Union relations refers to the complex and often adversarial diplomatic, military, and ideological interactions between the two superpowers, especially during the Cold War.
  • C. US-RI
    US-RI is the ISO 3166-2 subdivision code for the U.S. state of Rhode Island.
  • D. Russia
    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.
  • E. Russas
    Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24fa1b08190b09ab8fcb87b5c01 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.