Triple
T8585743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buganda |
E203300
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Busoga
Busoga is a traditional kingdom and region in eastern Uganda, inhabited mainly by the Basoga people and situated across the Nile from Buganda.
|
E744385
|
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: Busoga | Statement: [Buganda, borderedBy, Busoga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Busoga Context triple: [Buganda, borderedBy, Busoga]
-
A.
Mbagala
"Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
-
B.
Bitonga
Bitonga is a Bantu language spoken primarily by the Bitonga people in Mozambique’s Inhambane Province.
-
C.
Silozi
Silozi is a Bantu language spoken primarily by the Lozi people of western Zambia and surrounding regions.
-
D.
Soshanguve
Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
-
E.
Luyengo
Luyengo is a locality in Eswatini known for hosting the Luyengo Campus of the University of Eswatini and its agricultural education facilities.
- 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: Busoga Triple: [Buganda, borderedBy, Busoga]
Generated description
Busoga is a traditional kingdom and region in eastern Uganda, inhabited mainly by the Basoga people and situated across the Nile from Buganda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Busoga Target entity description: Busoga is a traditional kingdom and region in eastern Uganda, inhabited mainly by the Basoga people and situated across the Nile from Buganda.
-
A.
Mbagala
"Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
-
B.
Bitonga
Bitonga is a Bantu language spoken primarily by the Bitonga people in Mozambique’s Inhambane Province.
-
C.
Silozi
Silozi is a Bantu language spoken primarily by the Lozi people of western Zambia and surrounding regions.
-
D.
Soshanguve
Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
-
E.
Luyengo
Luyengo is a locality in Eswatini known for hosting the Luyengo Campus of the University of Eswatini and its agricultural education facilities.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc457be9b88190bd9a2fc32350c31e |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89c3421881908cfecba9a330b9c7 |
completed | April 2, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ce8d893cb48190ac5f8a38b21d016c |
completed | April 2, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce91659b948190ad2c486b5dfa0a94 |
completed | April 2, 2026, 3:55 p.m. |
Created at: March 30, 2026, 6:22 p.m.