Triple

T20965194
Position Surface form Disambiguated ID Type / Status
Subject Gamzat-bek E516347 entity
Predicate language P15 FINISHED
Object Kumyk 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: Kumyk | Statement: [Gamzat-bek, language, Kumyk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kumyk
Context triple: [Gamzat-bek, language, Kumyk]
  • A. Kumyk chosen
    Kumyk is a Turkic language traditionally spoken by the Kumyk people in the North Caucasus region, particularly in present-day Dagestan, Russia.
  • B. Karachay-Balkar
    Karachay-Balkar is a Turkic language spoken primarily by the Karachay and Balkar peoples in the North Caucasus region of Russia.
  • C. Kereks
    The Kereks are a small Indigenous people of northeastern Siberia, traditionally living along the Bering Sea coast and known for their maritime hunting and fishing culture.
  • D. Circassia
    Circassia is a historical region in the North Caucasus, traditionally inhabited by the Circassian people and known for its distinct culture and role as a crossroads between Europe and Asia.
  • E. Talysh
    The Talysh are an Iranian ethnic group primarily inhabiting the southwestern coast of the Caspian Sea in northern Iran and southeastern Azerbaijan, with their own distinct Talysh language and cultural traditions.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb72ef4c8190bebdd2cef3c2148c completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:32 p.m.