Triple

T1643341
Position Surface form Disambiguated ID Type / Status
Subject Kazan E35521 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Tatar E23170 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: Tatar | Statement: [Kazan, hasOfficialLanguage, Tatar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tatar
Context triple: [Kazan, hasOfficialLanguage, Tatar]
  • A. Tatar language chosen
    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.
  • B. Chuvash
    Chuvash are a Turkic ethnic group native to the Volga region of Russia, known for their distinct Chuvash language and culture.
  • 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. Tatars
    Tatars are a Turkic ethnic group historically centered in regions of Russia and Central Asia, known for their diverse subgroups, Islamic heritage, and significant cultural influence across the Eurasian steppe.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a3f4d8c8190aa0a44d1c9b1a7f0 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a0096c81909dc723d0db95481e completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:28 p.m.