Triple
T23348721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duala (Cameroon) |
E591942
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object | Ewondo language |
—
|
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: Ewondo language | Statement: [Duala (Cameroon), neighboringLanguages, Ewondo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewondo language Context triple: [Duala (Cameroon), neighboringLanguages, Ewondo language]
-
A.
Ewondo language
chosen
Ewondo is a Bantu language spoken primarily in central Cameroon, notably around the capital Yaoundé, by the Ewondo (Yaoundé) people.
-
B.
Bulu-Ewondo languages
The Bulu-Ewondo languages are a subgroup of Bantu languages spoken primarily in Cameroon, closely associated with the Beti-Fang linguistic and cultural area.
-
C.
Sateré-Mawé language
The Sateré-Mawé language is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
-
D.
Effutu language
Effutu language is a Niger-Congo language spoken primarily by the Effutu people in and around the coastal town of Winneba in Ghana.
-
E.
Wumboko language
The Wumboko language is a Bantu language of Cameroon spoken by the Wumboko people in the coastal region near Douala.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f199cb2a3c8190a5c0c8d8735256c7 |
completed | April 29, 2026, 5:40 a.m. |
Created at: April 17, 2026, 5:19 p.m.