Triple
T23360758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ring Road (Northwest Cameroon) |
E593175
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Mbengwi |
—
|
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: Mbengwi | Statement: [Ring Road (Northwest Cameroon), connects, Mbengwi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbengwi Context triple: [Ring Road (Northwest Cameroon), connects, Mbengwi]
-
A.
Mbengwi
chosen
Mbengwi is a town in western Cameroon that serves as the administrative center of Momo Division in the country's Northwest Region.
-
B.
Mwenga
Mwenga is a town in the South Kivu province of the Democratic Republic of the Congo that serves as an administrative and commercial center for the surrounding region.
-
C.
Mvengue
Mvengue is a locality situated along the Atlantic coast of Gabon in Central Africa.
-
D.
Yombe
The Yombe are a Central African ethnic group known for their rich artistic traditions, especially woodcarving and ritual sculpture, and for their cultural and linguistic ties to the broader Kongo peoples.
-
E.
Yumbe
Yumbe is a town in northern Uganda that serves as an important local administrative and commercial center near the border with South Sudan.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0a730f8819088fec53a43b063f8 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:30 p.m.