Triple

T3020407
Position Surface form Disambiguated ID Type / Status
Subject Ferghana Valley E82439 entity
Predicate ethnicGroup P194 FINISHED
Object Kyrgyz E72799 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: Kyrgyz | Statement: [Ferghana Valley, ethnicGroup, Kyrgyz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyrgyz
Context triple: [Ferghana Valley, ethnicGroup, Kyrgyz]
  • A. Kyrgyz chosen
    Kyrgyz is a Turkic language primarily spoken in Kyrgyzstan and surrounding regions of Central Asia.
  • B. Kyrgyzstan
    Kyrgyzstan is a landlocked Central Asian country known for its mountainous terrain, nomadic heritage, and status as a former Soviet republic.
  • C. Kyrgyz American
    A Kyrgyz American is a U.S. resident or citizen of Kyrgyz ethnic origin, often maintaining cultural ties to Kyrgyzstan while living within the broader Asian American community.
  • D. Kumyk
    Kumyk is a Turkic language traditionally spoken by the Kumyk people in the North Caucasus region, particularly in present-day Dagestan, Russia.
  • E. Kazakhs
    Kazakhs are a Turkic ethnic group native to the Central Asian steppe, known for their nomadic heritage, distinct language, and cultural traditions centered in modern-day Kazakhstan.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a940c048190bc46e2c8001db8c0 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e73b5988190be0712f4ddea92f7 completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.