Triple
T6435932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest Region (Cameroon) |
E129894
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Bamenda |
E136120
|
NE FINISHED |
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: Bamenda | Statement: [Northwest Region (Cameroon), capital, Bamenda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamenda Context triple: [Northwest Region (Cameroon), capital, Bamenda]
-
A.
Bamenda
chosen
Bamenda is a prominent city in northwestern Cameroon known as a cultural and commercial hub of the Anglophone region.
-
B.
Buea
Buea is a town in southwestern Cameroon, historically significant as an administrative center during colonial rule and today known as a regional capital near Mount Cameroon.
-
C.
Ngaoundéré
Ngaoundéré is a major city in northern Cameroon that serves as the regional capital of Adamawa and an important commercial and transport hub between central and northern Africa.
-
D.
Bangui
Bangui is the capital and largest city of the Central African Republic, serving as its political, economic, and cultural center.
-
E.
Moundou
Moundou is a major city in southwestern Chad and an important industrial and commercial center, particularly known for its cotton and oil industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c7127641d08190821e7c3fbc5c3ff9 |
completed | March 27, 2026, 11:27 p.m. |
Created at: March 22, 2026, 4:45 p.m.