Triple

T1055487
Position Surface form Disambiguated ID Type / Status
Subject Bashkir language E22791 entity
Predicate closelyRelatedTo P37 FINISHED
Object Kazakh language E22456 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: Kazakh language | Statement: [Bashkir language, closelyRelatedTo, Kazakh language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kazakh language
Context triple: [Bashkir language, closelyRelatedTo, Kazakh language]
  • A. Kazakh language chosen
    The Kazakh language is a Turkic language spoken primarily in Kazakhstan and surrounding regions, written today mainly in Cyrillic but also in Latin and Arabic scripts.
  • B. Turkmen language
    The Turkmen language is a Turkic language spoken primarily in Turkmenistan and surrounding regions, closely related to Turkish and other Oghuz languages.
  • C. Bashkir language
    The Bashkir language is a Turkic language spoken primarily by the Bashkir people in Russia, especially in the Republic of Bashkortostan.
  • D. Crimean Tatar language
    The Crimean Tatar language is a Turkic language traditionally spoken by the indigenous Crimean Tatar people of the Crimean Peninsula.
  • E. Chagatai Turkic
    Chagatai Turkic is a historical Turkic literary language that served as a major cultural and administrative lingua franca in Central Asia, especially under Turkic-Mongol and Timurid rule.
  • 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_69ac429f0580819082d5a2cc6129cb1e completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.