Triple
T5548880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narrow Bantu |
E145475
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
Kinyankole language
The Kinyankole language is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
|
E535971
|
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: Kinyankole language | Statement: [Narrow Bantu, includes, Kinyankole language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinyankole language Context triple: [Narrow Bantu, includes, Kinyankole language]
-
A.
Nyamwezi language
The Nyamwezi language is a Bantu language spoken primarily by the Nyamwezi people of western-central Tanzania.
-
B.
Ngindo language
The Ngindo language is a Bantu language spoken by the Ngindo people of southeastern Tanzania.
-
C.
Luganda
Luganda is a major Bantu language spoken primarily in Uganda, serving as a key lingua franca and cultural language of the Baganda people.
-
D.
Kitwe
Kitwe is a major mining and industrial city in Zambia’s Copperbelt Province, known as one of the country’s largest urban and economic centers.
-
E.
Tumbuka
Tumbuka is a Bantu language spoken primarily in northern Malawi and parts of Zambia and Tanzania.
- 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: Kinyankole language Triple: [Narrow Bantu, includes, Kinyankole language]
Generated description
The Kinyankole language is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kinyankole language Target entity description: The Kinyankole language is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
-
A.
Nyamwezi language
The Nyamwezi language is a Bantu language spoken primarily by the Nyamwezi people of western-central Tanzania.
-
B.
Ngindo language
The Ngindo language is a Bantu language spoken by the Ngindo people of southeastern Tanzania.
-
C.
Luganda
Luganda is a major Bantu language spoken primarily in Uganda, serving as a key lingua franca and cultural language of the Baganda people.
-
D.
Kitwe
Kitwe is a major mining and industrial city in Zambia’s Copperbelt Province, known as one of the country’s largest urban and economic centers.
-
E.
Tumbuka
Tumbuka is a Bantu language spoken primarily in northern Malawi and parts of Zambia and Tanzania.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe143ec8190bb67d2530c92a419 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cf1c66c819099e2cde5e1c7bec0 |
completed | March 22, 2026, 8:11 p.m. |
| NEDg | Description generation | batch_69c04e8422dc8190879ee52bd6850565 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f3963888190b1c85b3bb9ff5d44 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:35 p.m.