Triple

T20077252
Position Surface form Disambiguated ID Type / Status
Subject Aymani Kadyrova E499900 entity
Predicate ethnicGroup P194 FINISHED
Object Chechen 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: Chechen | Statement: [Aymani Kadyrova, ethnicGroup, Chechen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chechen
Context triple: [Aymani Kadyrova, ethnicGroup, Chechen]
  • A. Chechen language
    The Chechen language is a Northeast Caucasian language primarily spoken in the Chechen Republic of Russia and by Chechen communities in the Caucasus and diaspora.
  • B. Chechens chosen
    Chechens are a predominantly Muslim ethnic group native to the North Caucasus region, known for their distinct language, culture, and strong clan-based social traditions.
  • C. Kabardino-Cherkess
    Kabardino-Cherkess is a Northwest Caucasian language spoken primarily by the Kabardian and Cherkess peoples in the North Caucasus region of Russia.
  • D. Lezghinka
    Lezghinka is a fast-paced, energetic traditional folk dance of the peoples of the North Caucasus, often featuring sharp footwork and expressive, dramatic movements.
  • E. Chuvash
    Chuvash are a Turkic ethnic group native to the Volga region of Russia, known for their distinct Chuvash language and culture.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643d5238819098b7d4e4e2c8dd67 completed April 20, 2026, 5:37 p.m.
Created at: April 11, 2026, 3:40 p.m.