Triple

T707302
Position Surface form Disambiguated ID Type / Status
Subject Kyrgyzstan E14128 entity
Predicate officialLanguage P236 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: [Kyrgyzstan, officialLanguage, Kyrgyz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyrgyz
Context triple: [Kyrgyzstan, officialLanguage, 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. 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.
  • E. Turkmens
    Turkmens are a Turkic ethnic group primarily inhabiting Turkmenistan and surrounding regions, known for their shared linguistic and cultural heritage with other Oghuz Turkic peoples.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5477bb48190a2032edc83a24720 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcb1795c8190a178e14509b8b271 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.