Triple
T6435949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest Region (Cameroon) |
E129894
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bafut
Bafut is a traditional kingdom and town in northwestern Cameroon known for its rich cultural heritage and historical palace.
|
E593170
|
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: Bafut | Statement: [Northwest Region (Cameroon), contains, Bafut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bafut Context triple: [Northwest Region (Cameroon), contains, Bafut]
-
A.
Mbanderu
Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
-
B.
Musanze
Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
-
C.
Kikamba-Doondo
Kikamba-Doondo is a regional dialect of the Bantu language Kikongo, spoken by communities in parts of Central Africa.
-
D.
Umbundu
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
-
E.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
- 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: Bafut Triple: [Northwest Region (Cameroon), contains, Bafut]
Generated description
Bafut is a traditional kingdom and town in northwestern Cameroon known for its rich cultural heritage and historical palace.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bafut Target entity description: Bafut is a traditional kingdom and town in northwestern Cameroon known for its rich cultural heritage and historical palace.
-
A.
Mbanderu
Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
-
B.
Musanze
Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
-
C.
Kikamba-Doondo
Kikamba-Doondo is a regional dialect of the Bantu language Kikongo, spoken by communities in parts of Central Africa.
-
D.
Umbundu
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
-
E.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c069622eb881908b40fc8079d312d6 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640f2915c8190aea3578dcd77dd5f |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c64237ae8881908bbaa2760113da7c |
completed | March 27, 2026, 8:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64658463c8190a1d68beec15cab3d |
completed | March 27, 2026, 8:56 a.m. |
Created at: March 22, 2026, 4:45 p.m.