Triple
T18560698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ovambo people |
E453629
|
entity |
| Predicate | traditionalBeverage |
P4038
|
FINISHED |
| Object |
Oshikundu
Oshikundu is a traditional fermented millet-based drink from Namibia, especially associated with the Ovambo people.
|
E1331544
|
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: Oshikundu | Statement: [Ovambo people, traditionalBeverage, Oshikundu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oshikundu Context triple: [Ovambo people, traditionalBeverage, Oshikundu]
-
A.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
B.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
C.
Chindau
Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
-
D.
Oshindonga
Oshindonga is a standardized Bantu language variety spoken primarily in northern Namibia and southern Angola, forming one of the main dialects of the Oshiwambo language cluster.
-
E.
Nkambe
Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
- 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: Oshikundu Triple: [Ovambo people, traditionalBeverage, Oshikundu]
Generated description
Oshikundu is a traditional fermented millet-based drink from Namibia, especially associated with the Ovambo people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oshikundu Target entity description: Oshikundu is a traditional fermented millet-based drink from Namibia, especially associated with the Ovambo people.
-
A.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
B.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
C.
Chindau
Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
-
D.
Oshindonga
Oshindonga is a standardized Bantu language variety spoken primarily in northern Namibia and southern Angola, forming one of the main dialects of the Oshiwambo language cluster.
-
E.
Nkambe
Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538098a148190b0fc7098ce3c62fd |
completed | April 19, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f882c85c8190aa3482e8b92173db |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04f942c0dc819095282f862639b407 |
completed | May 13, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04fa17d90c819097ccac79a0e6d2d7 |
completed | May 13, 2026, 10:24 p.m. |
Created at: April 10, 2026, 11:42 a.m.