Triple
T3113645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamond Platnumz |
E65006
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Kamwambie
"Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
|
E338521
|
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: Kamwambie | Statement: [Diamond Platnumz, notableWork, Kamwambie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamwambie Context triple: [Diamond Platnumz, notableWork, Kamwambie]
-
A.
Makoni
Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
-
B.
Kasulu
Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
-
C.
Nkayi
Nkayi is a rural district and its main town in western Zimbabwe, situated in Matabeleland North Province and known for its predominantly Ndebele-speaking communities and subsistence agriculture.
-
D.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
E.
Chambo
Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
- 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: Kamwambie Triple: [Diamond Platnumz, notableWork, Kamwambie]
Generated description
"Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamwambie Target entity description: "Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
-
A.
Makoni
Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
-
B.
Kasulu
Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
-
C.
Nkayi
Nkayi is a rural district and its main town in western Zimbabwe, situated in Matabeleland North Province and known for its predominantly Ndebele-speaking communities and subsistence agriculture.
-
D.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
E.
Chambo
Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43c79448190aa72f707319e8c5e |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b261f21620819088b6e7f782efe0b8 |
completed | March 12, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_69b264c2b3e88190bdfb33f12c318c70 |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2689419808190adb9b69bf3185daf |
completed | March 12, 2026, 7:17 a.m. |
Created at: March 8, 2026, 3:04 p.m.