Triple
T14392007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bachama |
E356864
|
entity |
| Predicate | neighboringGroup |
P5965
|
FINISHED |
| Object |
Mbula
Mbula is an ethnic group in Nigeria known for its distinct language and cultural traditions, living in close proximity to the Bachama people.
|
E1096842
|
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: Mbula | Statement: [Bachama, neighboringGroup, Mbula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbula Context triple: [Bachama, neighboringGroup, Mbula]
-
A.
Mbala
Mbala is a town in northern Zambia near the Tanzanian border, known historically as a colonial-era administrative center and for its proximity to Lake Tanganyika.
-
B.
Mbato
Mbato is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Ivory Coast–Ghana region.
-
C.
Mboma
Mboma is a Cameroonian surname most prominently associated with former international football striker Patrick Mboma.
-
D.
Mbukushu
Mbukushu is a Bantu language spoken by the Mbukushu people primarily in northeastern Namibia and neighboring regions of Botswana and Angola.
-
E.
Mwinilunga
Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
- 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: Mbula Triple: [Bachama, neighboringGroup, Mbula]
Generated description
Mbula is an ethnic group in Nigeria known for its distinct language and cultural traditions, living in close proximity to the Bachama people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mbula Target entity description: Mbula is an ethnic group in Nigeria known for its distinct language and cultural traditions, living in close proximity to the Bachama people.
-
A.
Mbala
Mbala is a town in northern Zambia near the Tanzanian border, known historically as a colonial-era administrative center and for its proximity to Lake Tanganyika.
-
B.
Mbato
Mbato is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Ivory Coast–Ghana region.
-
C.
Mboma
Mboma is a Cameroonian surname most prominently associated with former international football striker Patrick Mboma.
-
D.
Mbukushu
Mbukushu is a Bantu language spoken by the Mbukushu people primarily in northeastern Namibia and neighboring regions of Botswana and Angola.
-
E.
Mwinilunga
Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902b9acc8190817ffa848a76a880 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5517f5e481908fd65177c34f4282 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd56cbbf7c8190a2e726ac415d3a38 |
completed | May 8, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57911f788190a1a69bb344b15275 |
completed | May 8, 2026, 3:25 a.m. |
Created at: April 10, 2026, 1:16 a.m.