Triple

T21665232
Position Surface form Disambiguated ID Type / Status
Subject Makonde E534696 entity
Predicate hasDialect P4251 FINISHED
Object Central Makonde
Central Makonde is a major regional variety of the Makonde Bantu language spoken primarily in northern Mozambique and southern Tanzania.
 E1495215 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: Central Makonde | Statement: [Makonde, hasDialect, Central Makonde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Central Makonde
Context triple: [Makonde, hasDialect, Central Makonde]
  • A. Sinazongwe
    Sinazongwe is a lakeside town in southern Zambia situated on the shores of Lake Kariba, known primarily for fishing and agriculture.
  • B. Mueda
    Mueda is a town in northern Mozambique known as a historical center of Makonde culture and the site of the pivotal 1960 Mueda massacre that helped spark the Mozambican independence struggle.
  • C. Mvele
    Mvele is a Bantu language spoken by the Beti-Pahuin people in parts of Central Africa, particularly in Cameroon.
  • D. Makoni
    Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
  • E. Mazangé
    Mazangé is a small commune in the Loir-et-Cher department of central France, situated within the arrondissement of Vendôme.
  • 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: Central Makonde
Triple: [Makonde, hasDialect, Central Makonde]
Generated description
Central Makonde is a major regional variety of the Makonde Bantu language spoken primarily in northern Mozambique and southern Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Central Makonde
Target entity description: Central Makonde is a major regional variety of the Makonde Bantu language spoken primarily in northern Mozambique and southern Tanzania.
  • A. Sinazongwe
    Sinazongwe is a lakeside town in southern Zambia situated on the shores of Lake Kariba, known primarily for fishing and agriculture.
  • B. Mueda
    Mueda is a town in northern Mozambique known as a historical center of Makonde culture and the site of the pivotal 1960 Mueda massacre that helped spark the Mozambican independence struggle.
  • C. Mvele
    Mvele is a Bantu language spoken by the Beti-Pahuin people in parts of Central Africa, particularly in Cameroon.
  • D. Makoni
    Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
  • E. Mazangé
    Mazangé is a small commune in the Loir-et-Cher department of central France, situated within the arrondissement of Vendôme.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0b26c8819092c13e59dcc3c25c completed April 27, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a15a0fcb8819095a7ada7e746a1ef completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a165552f48190aab079b317c6e281 completed May 17, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1704fb4c819086a689ccced74f90 completed May 17, 2026, 7:29 p.m.
Created at: April 16, 2026, 6:36 p.m.