Triple
T23348659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duala people |
E591941
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Duala 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: Duala language | Statement: [Duala people, language, Duala language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duala language Context triple: [Duala people, language, Duala language]
-
A.
Duala language
chosen
Duala language is a Bantu language of the Niger-Congo family spoken primarily by the Duala people in Cameroon, especially in the coastal Littoral region.
-
B.
Duupa language
Duupa language is a lesser-known Niger-Congo language spoken by the Duupa people in northern Cameroon.
-
C.
Dobel language
The Dobel language is an Austronesian language spoken by the Aru Islands community in eastern Indonesia.
-
D.
Duoxu language
The Duoxu language is an endangered Qiangic language of the Sino-Tibetan family once spoken by a small ethnic community in Sichuan, China.
-
E.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
- 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.