Triple

T2254066
Position Surface form Disambiguated ID Type / Status
Subject Southern Nilotic languages E49679 entity
Predicate includesLanguage P2177 FINISHED
Object Kalenjin
Kalenjin is a Southern Nilotic language spoken primarily in Kenya by the Kalenjin people, who are also renowned for producing many of the world’s elite long-distance runners.
 E247219 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: Kalenjin | Statement: [Southern Nilotic languages, includesLanguage, Kalenjin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kalenjin
Context triple: [Southern Nilotic languages, includesLanguage, Kalenjin]
  • A. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • B. Churulia
    Churulia is a village in the Paschim Bardhaman district of West Bengal, India, best known as the birthplace of the revolutionary poet Kazi Nazrul Islam.
  • C. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • D. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • E. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • 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: Kalenjin
Triple: [Southern Nilotic languages, includesLanguage, Kalenjin]
Generated description
Kalenjin is a Southern Nilotic language spoken primarily in Kenya by the Kalenjin people, who are also renowned for producing many of the world’s elite long-distance runners.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kalenjin
Target entity description: Kalenjin is a Southern Nilotic language spoken primarily in Kenya by the Kalenjin people, who are also renowned for producing many of the world’s elite long-distance runners.
  • A. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • B. Churulia
    Churulia is a village in the Paschim Bardhaman district of West Bengal, India, best known as the birthplace of the revolutionary poet Kazi Nazrul Islam.
  • C. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • D. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • E. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc12029548190af9f2cdd7a4de2d6 completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1dd6fc8190bd762fb3a17258b0 completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bbdef14819084b96389435ca080 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c2cfac48190b0425088e79cd122 completed March 9, 2026, 6:43 a.m.
Created at: March 4, 2026, 7:47 p.m.