Triple
T6077252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Region |
E135430
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Mbouda
Mbouda is a significant urban center in western Cameroon known for its role as a commercial and administrative hub in the region.
|
E569435
|
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: Mbouda | Statement: [West Region, hasMajorCity, Mbouda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbouda Context triple: [West Region, hasMajorCity, Mbouda]
-
A.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
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.
Eyamba
Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
-
D.
Ubangi-Shari
Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
-
E.
Ebanga
Ebanga is a monoclonal antibody drug used to treat Zaire ebolavirus infection (Ebola virus disease).
- 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: Mbouda Triple: [West Region, hasMajorCity, Mbouda]
Generated description
Mbouda is a significant urban center in western Cameroon known for its role as a commercial and administrative hub in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mbouda Target entity description: Mbouda is a significant urban center in western Cameroon known for its role as a commercial and administrative hub in the region.
-
A.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
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.
Eyamba
Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
-
D.
Ubangi-Shari
Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
-
E.
Ebanga
Ebanga is a monoclonal antibody drug used to treat Zaire ebolavirus infection (Ebola virus disease).
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0576ef2c88190b0ec62e9f041d176 |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1252a178c81909a3d689ad748fb5e |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c1288420dc8190bd70eba4c1a789df |
completed | March 23, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c129259d988190aa53f1637ff05be5 |
completed | March 23, 2026, 11:51 a.m. |
Created at: March 22, 2026, 4:11 p.m.