Triple

T21530654
Position Surface form Disambiguated ID Type / Status
Subject WIPO Standing Committees E531216 entity
Predicate hasWorkingLanguage P741 FINISHED
Object Russian 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: Russian | Statement: [WIPO Standing Committees, hasWorkingLanguage, Russian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russian
Context triple: [WIPO Standing Committees, hasWorkingLanguage, Russian]
  • A. Russian chosen
    Russian is an East Slavic language that serves as the official language of Russia and a major lingua franca across much of Eastern Europe and Central Asia.
  • B. Russan
    Russan is a commune in southern France situated along the Gardon River.
  • C. Ruso
    Ruso is a diminutive form of the given name Ruslan, commonly used as an affectionate or informal nickname.
  • D. Russo
    Russo is an Italian surname commonly used as a variant of Rossi, often associated with people of Italian heritage.
  • E. Rus
    Rus was a medieval East Slavic cultural and political realm that laid the foundations for the modern nations of Russia, Ukraine, and Belarus.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d08ebf881909574e098404f93fa completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.