Triple
T19817958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Region (Cameroon) |
E476108
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Mbouda |
—
|
NE NERFINISHED |
How this triple was built (2 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 (Cameroon), hasCity, Mbouda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbouda Context triple: [West Region (Cameroon), hasCity, Mbouda]
-
A.
Mbouda
chosen
Mbouda is a significant urban center in western Cameroon known for its role as a commercial and administrative hub in the region.
-
B.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
C.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
-
D.
Iboundji
Iboundji is a small town in southeastern Gabon that serves as one of the local centers of administration and community life in Ogooué-Lolo Province.
-
E.
Ngoumbi
Ngoumbi is an alternative name for the Kombe people, an ethnic group of Central Africa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654fac7b481909a19ae0d608e01d9 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.