Triple

T11137565
Position Surface form Disambiguated ID Type / Status
Subject Kericho District E263453 entity
Predicate containsSettlement P847 FINISHED
Object Kipkelion
Kipkelion is a town in Kenya’s Rift Valley region known historically as a railway settlement and trading center within Kericho County.
 E907411 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: Kipkelion | Statement: [Kericho District, containsSettlement, Kipkelion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kipkelion
Context triple: [Kericho District, containsSettlement, Kipkelion]
  • A. Segeju
    Segeju is a Bantu language of the Sabaki group spoken by the Segeju people in parts of coastal Kenya and Tanzania.
  • B. Kisii
    Kisii is a bustling commercial and administrative town in southwestern Kenya, serving as a key hub for the surrounding agricultural highlands and the Kisii community.
  • C. Gafat
    Gafat is an extinct South Ethio-Semitic language once spoken in parts of Ethiopia.
  • D. Kipsigis
    Kipsigis is a Southern Nilotic language spoken primarily by the Kipsigis people of Kenya, who are part of the larger Kalenjin ethnic group.
  • E. Wazaramo
    Wazaramo are a Bantu-speaking ethnic group native to the coastal and near-coastal regions around Dar es Salaam in eastern Tanzania.
  • 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: Kipkelion
Triple: [Kericho District, containsSettlement, Kipkelion]
Generated description
Kipkelion is a town in Kenya’s Rift Valley region known historically as a railway settlement and trading center within Kericho County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kipkelion
Target entity description: Kipkelion is a town in Kenya’s Rift Valley region known historically as a railway settlement and trading center within Kericho County.
  • A. Segeju
    Segeju is a Bantu language of the Sabaki group spoken by the Segeju people in parts of coastal Kenya and Tanzania.
  • B. Kisii
    Kisii is a bustling commercial and administrative town in southwestern Kenya, serving as a key hub for the surrounding agricultural highlands and the Kisii community.
  • C. Gafat
    Gafat is an extinct South Ethio-Semitic language once spoken in parts of Ethiopia.
  • D. Kipsigis
    Kipsigis is a Southern Nilotic language spoken primarily by the Kipsigis people of Kenya, who are part of the larger Kalenjin ethnic group.
  • E. Wazaramo
    Wazaramo are a Bantu-speaking ethnic group native to the coastal and near-coastal regions around Dar es Salaam in eastern Tanzania.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85f2ea48190bf1ff63af1d7d236 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e442030b588190bc958030f30b648a completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09dd5c8190bddf3dd109a639ba completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e451274ce48190a05f1d37f972c36c completed April 19, 2026, 3:51 a.m.
Created at: April 8, 2026, 9:28 p.m.