Triple
T11596247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runyankole |
E275007
|
entity |
| Predicate | associatedWithEthnicity |
P194
|
FINISHED |
| Object |
Banyankole
The Banyankole are a Bantu-speaking ethnic group from southwestern Uganda, traditionally known for cattle herding, agriculture, and a rich cultural heritage expressed through the Runyankole language.
|
E275007
|
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: Banyankole | Statement: [Runyankole, associatedWithEthnicity, Banyankole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banyankole Context triple: [Runyankole, associatedWithEthnicity, Banyankole]
-
A.
Kasese
Kasese is a town in western Uganda that serves as a key gateway to Queen Elizabeth National Park and the Rwenzori Mountains.
-
B.
Bunyoro
Bunyoro is a traditional kingdom and historical region in western Uganda that was once a powerful pre-colonial African state.
-
C.
Runyankole
Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
-
D.
Mubende District
Mubende District is an administrative district in central Uganda known for its agricultural activities and strategic location along major transport routes.
-
E.
Soroti
Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
- 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: Banyankole Triple: [Runyankole, associatedWithEthnicity, Banyankole]
Generated description
The Banyankole are a Bantu-speaking ethnic group from southwestern Uganda, traditionally known for cattle herding, agriculture, and a rich cultural heritage expressed through the Runyankole language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banyankole Target entity description: The Banyankole are a Bantu-speaking ethnic group from southwestern Uganda, traditionally known for cattle herding, agriculture, and a rich cultural heritage expressed through the Runyankole language.
-
A.
Kasese
Kasese is a town in western Uganda that serves as a key gateway to Queen Elizabeth National Park and the Rwenzori Mountains.
-
B.
Bunyoro
Bunyoro is a traditional kingdom and historical region in western Uganda that was once a powerful pre-colonial African state.
-
C.
Runyankole
chosen
Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
-
D.
Mubende District
Mubende District is an administrative district in central Uganda known for its agricultural activities and strategic location along major transport routes.
-
E.
Soroti
Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
- F. None of above.
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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946790d08190924d60bb4b523250 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86f246848190a5b020c3e05d02dd |
completed | April 26, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69eeb310e04c8190a1004662d5bbc015 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee95dfff48190a3c3022cdfc6dafc |
completed | April 27, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:38 p.m.