Triple

T10483043
Position Surface form Disambiguated ID Type / Status
Subject Kalenjin E247219 entity
Predicate subfamily P4180 FINISHED
Object Nandi–Markweta
Nandi–Markweta is a branch of the Kalenjin languages spoken in parts of Kenya by related Kalenjin ethnic groups.
E864857 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: Nandi–Markweta | Statement: [Kalenjin, subfamily, Nandi–Markweta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nandi–Markweta
Context triple: [Kalenjin, subfamily, Nandi–Markweta]
  • A. Nkambe
    Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
  • B. Gombe
    Gombe is a region in western Tanzania best known for its national park where pioneering primatologist Jane Goodall conducted her landmark chimpanzee research.
  • C. Gombe
    Gombe is a major city in northeastern Nigeria that serves as the capital and economic hub of Gombe State.
  • D. Manyanga
    Manyanga was an important historical settlement in present-day Zimbabwe that served as the capital of the Rozvi Empire.
  • E. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • 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: Nandi–Markweta
Triple: [Kalenjin, subfamily, Nandi–Markweta]
Generated description
Nandi–Markweta is a branch of the Kalenjin languages spoken in parts of Kenya by related Kalenjin ethnic groups.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nandi–Markweta
Target entity description: Nandi–Markweta is a branch of the Kalenjin languages spoken in parts of Kenya by related Kalenjin ethnic groups.
  • A. Nkambe
    Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
  • B. Gombe
    Gombe is a region in western Tanzania best known for its national park where pioneering primatologist Jane Goodall conducted her landmark chimpanzee research.
  • C. Gombe
    Gombe is a major city in northeastern Nigeria that serves as the capital and economic hub of Gombe State.
  • D. Manyanga
    Manyanga was an important historical settlement in present-day Zimbabwe that served as the capital of the Rozvi Empire.
  • E. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509678ac88190984f18a2162e2dcf completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a03336988190bc1e61126fe576be completed April 10, 2026, 7:01 a.m.
NEDg Description generation batch_69d8a166404881909c28141fefea2936 completed April 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69d8a2c550ac81908444c6abfe14698a completed April 10, 2026, 7:12 a.m.
Created at: April 6, 2026, 12:22 p.m.