Triple

T20370642
Position Surface form Disambiguated ID Type / Status
Subject Khorezm Region E497040 entity
Predicate languageSpoken P151 FINISHED
Object Karakalpak 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: Karakalpak | Statement: [Khorezm Region, languageSpoken, Karakalpak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karakalpak
Context triple: [Khorezm Region, languageSpoken, 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 (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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678758b98819082c6440e03ad1615 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.