Triple

T18809238
Position Surface form Disambiguated ID Type / Status
Subject Elista E459962 entity
Predicate regionalLanguage P237 FINISHED
Object Kalmyk NE NERFINISHED

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: Kalmyk | Statement: [Elista, regionalLanguage, Kalmyk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalmyk
Context triple: [Elista, regionalLanguage, Kalmyk]
  • A. Kalmyk chosen
    Kalmyk refers to a Mongolic ethnic group primarily living in Russia’s Kalmykia region, known for being the only traditionally Buddhist people in Europe.
  • B. Bashkir
    Bashkir is a Turkic language spoken primarily by the Bashkir people in Russia’s Republic of Bashkortostan and surrounding regions.
  • C. Khakas
    Khakas is a Turkic language spoken primarily by the Khakas people in the Republic of Khakassia in south-central Siberia, Russia.
  • D. Komi
    Komi is a traditional village on the Greek island of Tinos, known for its Cycladic architecture and rural charm.
  • E. Komi
    The Komi are a Finno-Ugric ethnic group indigenous to northern European Russia, known for their distinct Uralic language and traditional presence in regions such as the Komi Republic and surrounding areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d9c49c8190a9d29a25f0c977b2 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.