Triple
T17364115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Region of Cameroon |
E422142
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Mundemba |
—
|
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: Mundemba | Statement: [Southwest Region of Cameroon, containsTown, Mundemba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mundemba Context triple: [Southwest Region of Cameroon, containsTown, Mundemba]
-
A.
Mundemba
chosen
Mundemba is a town in southwestern Cameroon known as a gateway to the biodiverse Korup National Park.
-
B.
Makouda
Makouda is a town and commune located in northern Algeria within the Kabylie region.
-
C.
Ngoni
Ngoni is a Bantu language spoken by the Ngoni people of parts of Malawi, Tanzania, Mozambique, and Zambia, reflecting historical migrations from the Zulu region.
-
D.
Mbundu
Mbundu is a major Bantu ethnic group of Angola, known for its distinct language and significant cultural and historical influence in the region.
-
E.
Amidou
Amidou is a character associated with sorcery and the mystical arts, often depicted in connection with a powerful sorcerer.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4f52988190847230e119a35b87 |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:44 a.m.