Triple

T1946319
Position Surface form Disambiguated ID Type / Status
Subject Turkic world E42061 entity
Predicate hasMajorLanguage P207 FINISHED
Object Karakalpak
Karakalpak is a Turkic language spoken primarily by the Karakalpak people in northwestern Uzbekistan and surrounding regions.
 E218127 NE FINISHED

How this triple was built (4 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: [Turkic world, hasMajorLanguage, Karakalpak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karakalpak
Context triple: [Turkic world, hasMajorLanguage, Karakalpak]
  • A. 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.
  • B. Ürümqi
    Ürümqi is a major city in northwestern China that serves as the political, economic, and cultural center of the Xinjiang Uyghur Autonomous Region.
  • C. Fergana
    Fergana is a major city in eastern Uzbekistan, known as an administrative, cultural, and industrial center of the fertile Fergana Valley.
  • D. Badakhshan
    Badakhshan is a mountainous historical region in Central Asia, spanning parts of northeastern Afghanistan and eastern Tajikistan, known for its Pamir highlands and diverse ethnic communities.
  • E. Sogdia
    Sogdia was an ancient Iranian-speaking region in Central Asia, renowned as a key hub of trade and culture along the Silk Road.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Karakalpak
Triple: [Turkic world, hasMajorLanguage, Karakalpak]
Generated description
Karakalpak is a Turkic language spoken primarily by the Karakalpak people in northwestern Uzbekistan and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karakalpak
Target entity description: Karakalpak is a Turkic language spoken primarily by the Karakalpak people in northwestern Uzbekistan and surrounding regions.
  • A. 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.
  • B. Ürümqi
    Ürümqi is a major city in northwestern China that serves as the political, economic, and cultural center of the Xinjiang Uyghur Autonomous Region.
  • C. Fergana
    Fergana is a major city in eastern Uzbekistan, known as an administrative, cultural, and industrial center of the fertile Fergana Valley.
  • D. Badakhshan
    Badakhshan is a mountainous historical region in Central Asia, spanning parts of northeastern Afghanistan and eastern Tajikistan, known for its Pamir highlands and diverse ethnic communities.
  • E. Sogdia
    Sogdia was an ancient Iranian-speaking region in Central Asia, renowned as a key hub of trade and culture along the Silk Road.
  • F. None of above. chosen

Provenance (5 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbbf724081909b24680d483edbd1 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6aa96c81909ae3cff6c7ab7f79 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfcebbc808190a74f9082636bce11 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.