Triple

T21733338
Position Surface form Disambiguated ID Type / Status
Subject Digor Ossetian E536460 entity
Predicate influencedBy P9 FINISHED
Object Russian language 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 language | Statement: [Digor Ossetian, influencedBy, Russian language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russian language
Context triple: [Digor Ossetian, influencedBy, Russian language]
  • A. Russian language chosen
    Russian is an East Slavic language spoken primarily in Russia and neighboring countries, serving as one of the world's major languages in politics, science, and culture.
  • B. Russian
    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.
  • C. Ruso
    Ruso is a diminutive form of the given name Ruslan, commonly used as an affectionate or informal nickname.
  • D. Russan
    Russan is a commune in southern France situated along the Gardon River.
  • E. Russo
    Russo is an Italian surname commonly used as a variant of Rossi, often associated with people of Italian heritage.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd085eec81908b3df82bc25a8780 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.