Triple

T10311053
Position Surface form Disambiguated ID Type / Status
Subject Karakalpakstan E241889 entity
Predicate officialLanguage P236 FINISHED
Object Karakalpak E218127 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: Karakalpak | Statement: [Karakalpakstan, officialLanguage, Karakalpak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karakalpak
Context triple: [Karakalpakstan, officialLanguage, Karakalpak]
  • A. Karakalpak chosen
    Karakalpak is a Turkic language spoken primarily by the Karakalpak people in northwestern Uzbekistan and surrounding regions.
  • B. Karakalpakstan
    Karakalpakstan is an autonomous republic in northwestern Uzbekistan, known for its location around the shrinking Aral Sea and the lower reaches of the Amu Darya River.
  • C. Zhetysu
    Zhetysu is a historic region of Central Asia, largely in southeastern Kazakhstan, known for its fertile river valleys, including that of the Ili River, and its role as a crossroads on the Silk Road.
  • D. Sirdaryo
    Sirdaryo is the Uzbek name for the Syr Darya, a major river in Central Asia that flows through countries such as Uzbekistan, Tajikistan, and Kazakhstan.
  • E. Turkestan
    Turkestan is a historical region in Central Asia traditionally inhabited by various Turkic peoples and spanning parts of modern-day China, Kazakhstan, Kyrgyzstan, Uzbekistan, Turkmenistan, and neighboring areas.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32ac6c08190b23eb042b3ec284a completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d78ece88190885768c979b038df completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:47 a.m.