Triple

T1055513
Position Surface form Disambiguated ID Type / Status
Subject Bashkir language E22791 entity
Predicate endonym P1435 FINISHED
Object башҡорт теле 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: башҡорт теле | Statement: [Bashkir language, endonym, башҡорт теле]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: башҡорт теле
Context triple: [Bashkir language, endonym, башҡорт теле]
  • A. Standard Belarusian
    Standard Belarusian is the codified modern form of the Belarusian language used in official communication, education, and literature in Belarus.
  • B. Bashkir language chosen
    The Bashkir language is a Turkic language spoken primarily by the Bashkir people in Russia, especially in the Republic of Bashkortostan.
  • C. 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.
  • D. .бел
    .бел is the Cyrillic country-code top-level domain designated for websites associated with Belarus.
  • E. Belarusians
    Belarusians are an East Slavic ethnic group primarily associated with the modern nation of Belarus, sharing linguistic, cultural, and historical ties with Russians and Ukrainians.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d9102c819090af78cae50f0ff2 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bd110ac8190b66163de42bd3034 completed March 7, 2026, 2:53 p.m.
Created at: March 1, 2026, 7:42 p.m.