Triple
T11499692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zande language |
E272630
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object |
Baka (Ubangi)
Baka (Ubangi) is a Ubangian language spoken by the Baka people of Central Africa, primarily in parts of the Central African Republic, South Sudan, and the Democratic Republic of the Congo.
|
E929321
|
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: Baka (Ubangi) | Statement: [Zande language, neighboringLanguages, Baka (Ubangi)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baka (Ubangi) Context triple: [Zande language, neighboringLanguages, Baka (Ubangi)]
-
A.
Baka
Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
-
B.
Bakwa
Bakwa is a town and district center in Afghanistan known for its location in the southwestern Farah Province.
-
C.
Mungaka
Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
-
D.
Bukomansimbi
Bukomansimbi is a district in central Uganda located within the traditional kingdom of Buganda.
-
E.
Mbagala
"Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
- 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: Baka (Ubangi) Triple: [Zande language, neighboringLanguages, Baka (Ubangi)]
Generated description
Baka (Ubangi) is a Ubangian language spoken by the Baka people of Central Africa, primarily in parts of the Central African Republic, South Sudan, and the Democratic Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baka (Ubangi) Target entity description: Baka (Ubangi) is a Ubangian language spoken by the Baka people of Central Africa, primarily in parts of the Central African Republic, South Sudan, and the Democratic Republic of the Congo.
-
A.
Baka
Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
-
B.
Bakwa
Bakwa is a town and district center in Afghanistan known for its location in the southwestern Farah Province.
-
C.
Mungaka
Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
-
D.
Bukomansimbi
Bukomansimbi is a district in central Uganda located within the traditional kingdom of Buganda.
-
E.
Mbagala
"Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de3e9c881909d6c55334f7a832d |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604aa9e3c8190ad86e4d05a67c8ac |
completed | April 20, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69e610a82c308190927158dbd566b0d4 |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e61853a3b48190b0d132761e9be69c |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.