Triple
T6106123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamenda |
E136120
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Bamenda Highlands |
E197969
|
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 Highlands | Statement: [Bamenda, near, Bamenda Highlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamenda Highlands Context triple: [Bamenda, near, Bamenda Highlands]
-
A.
Cameroon Highlands
chosen
The Cameroon Highlands are a mountainous region in western Cameroon known for their cool climate, volcanic peaks, and rich biodiversity, including extensive montane forests and endemic species.
-
B.
Batéké Plateau
The Batéké Plateau is a highland region of savanna and ancient volcanic formations spanning parts of Gabon, the Republic of the Congo, and the Democratic Republic of the Congo in Central Africa.
-
C.
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.
-
D.
Abong-Mbang
Abong-Mbang is a town in eastern Cameroon that serves as a local administrative and commercial center in the East Region.
-
E.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b7ee8b48190b87f5ec8a46d6e2d |
completed | March 22, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1359334c081909653603633ba9c06 |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:13 p.m.