Triple
T14362396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Mbundu |
E356136
|
entity |
| Predicate | hasNeighboringLanguage |
P16383
|
FINISHED |
| Object |
Nyaneka-Nkhumbi
Nyaneka-Nkhumbi is a Bantu language spoken primarily in southwestern Angola by the Nyaneka and Nkhumbi ethnic groups.
|
E1094607
|
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: Nyaneka-Nkhumbi | Statement: [South Mbundu, hasNeighboringLanguage, Nyaneka-Nkhumbi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyaneka-Nkhumbi Context triple: [South Mbundu, hasNeighboringLanguage, Nyaneka-Nkhumbi]
-
A.
Mbekweni
Mbekweni is a predominantly residential township in the Western Cape province of South Africa, situated near Paarl within the Drakenstein municipal area.
-
B.
Thabazimbi
Thabazimbi is a small mining town in South Africa’s Limpopo province, known for its iron ore industry and proximity to the scenic Marakele National Park.
-
C.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
-
D.
Luanshya
Luanshya is a mining town in Zambia known for its copper production and role in the country’s Copperbelt region.
-
E.
Nkob
Nkob is a small village in southeastern Morocco known for its traditional mud-brick kasbahs and as a gateway to the Jbel Saghro mountains.
- 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: Nyaneka-Nkhumbi Triple: [South Mbundu, hasNeighboringLanguage, Nyaneka-Nkhumbi]
Generated description
Nyaneka-Nkhumbi is a Bantu language spoken primarily in southwestern Angola by the Nyaneka and Nkhumbi ethnic groups.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nyaneka-Nkhumbi Target entity description: Nyaneka-Nkhumbi is a Bantu language spoken primarily in southwestern Angola by the Nyaneka and Nkhumbi ethnic groups.
-
A.
Mbekweni
Mbekweni is a predominantly residential township in the Western Cape province of South Africa, situated near Paarl within the Drakenstein municipal area.
-
B.
Thabazimbi
Thabazimbi is a small mining town in South Africa’s Limpopo province, known for its iron ore industry and proximity to the scenic Marakele National Park.
-
C.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
-
D.
Luanshya
Luanshya is a mining town in Zambia known for its copper production and role in the country’s Copperbelt region.
-
E.
Nkob
Nkob is a small village in southeastern Morocco known for its traditional mud-brick kasbahs and as a gateway to the Jbel Saghro mountains.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fabec088190bd8128371b29e958 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4aba788190bd5ab8cbc772dcf1 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4cd74d188190996367ab885c5531 |
completed | May 8, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4d5b489081908016e62d4db476ce |
completed | May 8, 2026, 2:41 a.m. |
Created at: April 10, 2026, 1:15 a.m.