Triple

T397251
Position Surface form Disambiguated ID Type / Status
Subject Kazakhstan E9209 entity
Predicate officialLanguage P236 FINISHED
Object Kazakh 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 | Statement: [Kazakhstan, officialLanguage, Kazakh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kazakh
Context triple: [Kazakhstan, officialLanguage, Kazakh]
  • 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. Kazakh American
    Kazakh Americans are U.S. residents or citizens of Kazakh ancestry, often with cultural roots in Kazakhstan and Central Asia while participating in the broader Asian American community.
  • 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. Bashkir language
    The Bashkir language is a Turkic language spoken primarily by the Bashkir people in Russia, especially in the Republic of Bashkortostan.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8bcf708190b62e15806159ceb1 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a40ad7ebec8190a0a4ee16b20cea57 completed March 1, 2026, 9:46 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.