Triple
T16298599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambundu people |
E395717
|
entity |
| Predicate | ethnonymVariant |
P4709
|
FINISHED |
| Object | Mbundu |
E648577
|
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: Mbundu | Statement: [Ambundu people, ethnonymVariant, Mbundu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbundu Context triple: [Ambundu people, ethnonymVariant, Mbundu]
-
A.
Mbundu
chosen
Mbundu is a major Bantu ethnic group of Angola, known for its distinct language and significant cultural and historical influence in the region.
-
B.
Mbunda
Mbunda is a Bantu language spoken primarily in Angola and Zambia, known for its rich oral traditions and role in the cultural identity of the Mbunda people.
-
C.
Mohombi
Mohombi is a Congolese-Swedish singer, songwriter, and dancer known for his international pop and dance hits blending African and European musical influences.
-
D.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
-
E.
Mumbwa
Mumbwa is a town in central Zambia known as an agricultural and mining hub west of the capital, Lusaka.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e30ee288190b78807b60cb18e22 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9d7ef48190b7acebebcb9608c3 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.