Triple
T6435941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest Region (Cameroon) |
E129894
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ndop
Ndop is a town and agricultural hub in Cameroon's Northwest Region, known for its fertile plains and rice cultivation.
|
E593165
|
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: Ndop | Statement: [Northwest Region (Cameroon), contains, Ndop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ndop Context triple: [Northwest Region (Cameroon), contains, Ndop]
-
A.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
B.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
-
C.
Abong-Mbang
Abong-Mbang is a town in eastern Cameroon that serves as a local administrative and commercial center in the East Region.
-
D.
Bosambo
Bosambo is a prominent fictional African chief featured in Edgar Wallace’s "Sanders of the River" stories, known for his cunning, charisma, and complex relationship with colonial authority.
-
E.
Kié-Ntem
Kié-Ntem is a province in mainland Equatorial Guinea known for its largely forested landscapes and border location with Cameroon and Gabon.
- 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: Ndop Triple: [Northwest Region (Cameroon), contains, Ndop]
Generated description
Ndop is a town and agricultural hub in Cameroon's Northwest Region, known for its fertile plains and rice cultivation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ndop Target entity description: Ndop is a town and agricultural hub in Cameroon's Northwest Region, known for its fertile plains and rice cultivation.
-
A.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
B.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
-
C.
Abong-Mbang
Abong-Mbang is a town in eastern Cameroon that serves as a local administrative and commercial center in the East Region.
-
D.
Bosambo
Bosambo is a prominent fictional African chief featured in Edgar Wallace’s "Sanders of the River" stories, known for his cunning, charisma, and complex relationship with colonial authority.
-
E.
Kié-Ntem
Kié-Ntem is a province in mainland Equatorial Guinea known for its largely forested landscapes and border location with Cameroon and Gabon.
- 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.