Triple

T26554491
Position Surface form Disambiguated ID Type / Status
Subject Inyamwezi E671764 entity
Predicate belongsTo P35 FINISHED
Object Sukuma–Nyamwezi cluster
The Sukuma–Nyamwezi cluster is a group of closely related Bantu-speaking ethnic and linguistic communities of northwestern Tanzania, including the Sukuma and Nyamwezi peoples.
E1732828 NE FINISHED

How this triple was built (2 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: Sukuma–Nyamwezi cluster | Statement: [Inyamwezi, belongsTo, Sukuma–Nyamwezi cluster]
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: Sukuma–Nyamwezi cluster
Triple: [Inyamwezi, belongsTo, Sukuma–Nyamwezi cluster]
Generated description
The Sukuma–Nyamwezi cluster is a group of closely related Bantu-speaking ethnic and linguistic communities of northwestern Tanzania, including the Sukuma and Nyamwezi peoples.

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_69eeb32163f08190af5f81282738e27a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6146527d481908aae1bf455f32714 completed May 2, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c81fe7348190ab4e58840ef3f7d4 completed May 23, 2026, 3:30 p.m.
NEDg Description generation batch_6a11c919c3d08190ae5cc3a21f5257be completed May 23, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_6a11ca240174819082559be9b1e08482 completed May 23, 2026, 3:39 p.m.
Created at: April 27, 2026, 1:49 a.m.