Triple

T3402712
Position Surface form Disambiguated ID Type / Status
Subject Umbundu E71693 entity
Predicate hasAlternativeName P39 FINISHED
Object South Mbundu
South Mbundu, also known as Umbundu, is a major Bantu language spoken primarily by the Ovimbundu people in central and southern Angola.
 E356136 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: South Mbundu | Statement: [Umbundu, hasAlternativeName, South Mbundu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: South Mbundu
Context triple: [Umbundu, hasAlternativeName, South Mbundu]
  • A. North Mbundu
    North Mbundu, also known as Kimbundu, is a Bantu language spoken primarily in northwestern Angola by the Mbundu people.
  • B. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • C. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • D. Ubangi-Shari
    Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
  • E. Luba-Kasai
    Luba-Kasai is a Bantu language spoken primarily in the Kasai region of the Democratic Republic of the Congo by the Luba people.
  • 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: South Mbundu
Triple: [Umbundu, hasAlternativeName, South Mbundu]
Generated description
South Mbundu, also known as Umbundu, is a major Bantu language spoken primarily by the Ovimbundu people in central and southern Angola.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: South Mbundu
Target entity description: South Mbundu, also known as Umbundu, is a major Bantu language spoken primarily by the Ovimbundu people in central and southern Angola.
  • A. North Mbundu
    North Mbundu, also known as Kimbundu, is a Bantu language spoken primarily in northwestern Angola by the Mbundu people.
  • B. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • C. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • D. Ubangi-Shari
    Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
  • E. Luba-Kasai
    Luba-Kasai is a Bantu language spoken primarily in the Kasai region of the Democratic Republic of the Congo by the Luba people.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8e78ec8819089417666dc29f412 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd4d02881909c365e054148ae8c completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e4792608190b74e02e065d4bc68 completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b3525f44948190af72b177193edca4 completed March 12, 2026, 11:55 p.m.
Created at: March 8, 2026, 3:14 p.m.