Triple

T2446370
Position Surface form Disambiguated ID Type / Status
Subject Kikuyu E53602 entity
Predicate hasAlternativeName P39 FINISHED
Object Gĩkũyũ
Gĩkũyũ is a major Bantu ethnic group native to central Kenya, known for its significant cultural, political, and economic influence in the country.
 E267660 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: Gĩkũyũ | Statement: [Kikuyu, hasAlternativeName, Gĩkũyũ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gĩkũyũ
Context triple: [Kikuyu, hasAlternativeName, Gĩkũyũ]
  • A. Mwaghavul
    Mwaghavul is a Chadic language spoken primarily by the Mwaghavul people in Plateau State, central Nigeria.
  • B. Ntumu
    Ntumu is a dialect of the Fang language spoken by Fang communities in parts of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
  • C. Igunga
    Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
  • D. Sakubva
    Sakubva is a high-density residential suburb of Mutare in eastern Zimbabwe, known as one of the city’s oldest and most populous townships.
  • E. Nyanjoga
    Nyanjoga is a Kenyan surname associated with individuals such as Habiba Akumu Nyanjoga.
  • 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: Gĩkũyũ
Triple: [Kikuyu, hasAlternativeName, Gĩkũyũ]
Generated description
Gĩkũyũ is a major Bantu ethnic group native to central Kenya, known for its significant cultural, political, and economic influence in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gĩkũyũ
Target entity description: Gĩkũyũ is a major Bantu ethnic group native to central Kenya, known for its significant cultural, political, and economic influence in the country.
  • A. Mwaghavul
    Mwaghavul is a Chadic language spoken primarily by the Mwaghavul people in Plateau State, central Nigeria.
  • B. Ntumu
    Ntumu is a dialect of the Fang language spoken by Fang communities in parts of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
  • C. Igunga
    Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
  • D. Sakubva
    Sakubva is a high-density residential suburb of Mutare in eastern Zimbabwe, known as one of the city’s oldest and most populous townships.
  • E. Nyanjoga
    Nyanjoga is a Kenyan surname associated with individuals such as Habiba Akumu Nyanjoga.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abca25a84c8190859bf51000beffec completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0bd7a088190b635a8bac233c5cd completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef50bc7ac8190add8ee63c5621dc1 completed March 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69aef632e2e08190b21023cbb0f12be8 completed March 9, 2026, 4:32 p.m.
Created at: March 6, 2026, 9:43 p.m.