Triple

T2279823
Position Surface form Disambiguated ID Type / Status
Subject Mari El Republic E51254 entity
Predicate hasPopulationGroup P1898 FINISHED
Object Chuvash E75717 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: Chuvash | Statement: [Mari El Republic, hasPopulationGroup, Chuvash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chuvash
Context triple: [Mari El Republic, hasPopulationGroup, Chuvash]
  • A. Chuvash chosen
    Chuvash are a Turkic ethnic group native to the Volga region of Russia, known for their distinct Chuvash language and culture.
  • B. Bashkir
    Bashkir is a Turkic language spoken primarily by the Bashkir people in Russia’s Republic of Bashkortostan and surrounding regions.
  • C. Kalmyk
    Kalmyk refers to a Mongolic ethnic group primarily living in Russia’s Kalmykia region, known for being the only traditionally Buddhist people in Europe.
  • D. Karachay-Balkar
    Karachay-Balkar is a Turkic language spoken primarily by the Karachay and Balkar peoples in the North Caucasus region of Russia.
  • E. Kumyk
    Kumyk is a Turkic language traditionally spoken by the Kumyk people in the North Caucasus region, particularly in present-day Dagestan, Russia.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5b3d4988190bceb3dffa9734f4b completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71e48fb081908498f826167020a2 completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.