Triple

T2014771
Position Surface form Disambiguated ID Type / Status
Subject Kipchak languages E43768 entity
Predicate includesLanguage P2177 FINISHED
Object Bashkir language E22791 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: Bashkir language | Statement: [Kipchak languages, includesLanguage, Bashkir language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bashkir language
Context triple: [Kipchak languages, includesLanguage, Bashkir language]
  • A. Bashkir language chosen
    The Bashkir language is a Turkic language spoken primarily by the Bashkir people in Russia, especially in the Republic of Bashkortostan.
  • B. Tatar language
    The Tatar language is a Turkic language spoken primarily by Tatars in Russia and neighboring regions, with official status in Tatarstan and a literary tradition spanning several centuries.
  • C. Bashkir
    Bashkir is a Turkic language spoken primarily by the Bashkir people in Russia’s Republic of Bashkortostan and surrounding regions.
  • D. Erzya language
    The Erzya language is a Uralic, Finno-Volgaic language spoken primarily by the Erzya Mordvin people in central Russia.
  • E. Sakha language
    The Sakha language is a Turkic language spoken primarily by the Sakha (Yakut) people in northeastern Siberia, where it serves as a major regional and cultural language.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b610a88190bc10fd7dda19da08 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aeca6388190befe0630d44de109 completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:37 p.m.