Triple
T2531854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luganda |
E56177
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
Oluganda
Oluganda is the endonym for Luganda, a major Bantu language spoken primarily by the Baganda people in central Uganda.
|
E280444
|
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: Oluganda | Statement: [Luganda, nativeName, Oluganda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oluganda Context triple: [Luganda, nativeName, Oluganda]
-
A.
Uganda
Uganda is a landlocked country in East Africa known for its diverse landscapes, abundant wildlife, and location along the equator.
-
B.
Nzera
Nzera is a settlement located within Tanzania’s Geita Region in East Africa.
-
C.
Hausaland
Hausaland is a historical region of West Africa traditionally inhabited by the Hausa people, known for its influential city-states, trans-Saharan trade, and rich Islamic cultural heritage.
-
D.
Ennedi
Ennedi is a remote region in northeastern Chad renowned for its dramatic sandstone massifs, rock arches, and prehistoric rock art.
-
E.
Urhobo
Urhobo is an ethnic group primarily located in the Niger Delta region of southern Nigeria, known for its rich cultural traditions, language, and festivals.
- 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: Oluganda Triple: [Luganda, nativeName, Oluganda]
Generated description
Oluganda is the endonym for Luganda, a major Bantu language spoken primarily by the Baganda people in central Uganda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oluganda Target entity description: Oluganda is the endonym for Luganda, a major Bantu language spoken primarily by the Baganda people in central Uganda.
-
A.
Uganda
Uganda is a landlocked country in East Africa known for its diverse landscapes, abundant wildlife, and location along the equator.
-
B.
Nzera
Nzera is a settlement located within Tanzania’s Geita Region in East Africa.
-
C.
Hausaland
Hausaland is a historical region of West Africa traditionally inhabited by the Hausa people, known for its influential city-states, trans-Saharan trade, and rich Islamic cultural heritage.
-
D.
Ennedi
Ennedi is a remote region in northeastern Chad renowned for its dramatic sandstone massifs, rock arches, and prehistoric rock art.
-
E.
Urhobo
Urhobo is an ethnic group primarily located in the Niger Delta region of southern Nigeria, known for its rich cultural traditions, language, and festivals.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2781700819091ffc32244d9efe2 |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af655441b0819088b86498520ee3b4 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af68b8b2488190b5d87852ca331e0e |
completed | March 10, 2026, 12:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af691252908190ad3671569044dbc4 |
completed | March 10, 2026, 12:42 a.m. |
Created at: March 6, 2026, 9:47 p.m.