Triple

T3451351
Position Surface form Disambiguated ID Type / Status
Subject Kyrgyz E72799 entity
Predicate closelyRelatedTo P37 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: [Kyrgyz, closelyRelatedTo, Karakalpak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karakalpak
Context triple: [Kyrgyz, closelyRelatedTo, 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. 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.
  • D. 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.
  • E. Khiva
    Khiva is an ancient oasis city in western Uzbekistan renowned for its well-preserved walled old town, Itchan Kala, a UNESCO World Heritage Site.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7465248190947f9096e230e1c4 completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f018fe0481908291195f55fd765f completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:16 p.m.