Triple
T22554251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bassa of Cameroon |
E557637
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Bassa 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: Bassa language | Statement: [Bassa of Cameroon, language, Bassa language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bassa language Context triple: [Bassa of Cameroon, language, Bassa language]
-
A.
Bassa language
Bassa language is a Kru language of the Niger-Congo family spoken primarily by the Bassa people in Liberia and neighboring regions.
-
B.
Bassa language
chosen
The Bassa language is a Bantu language spoken by the Bassa people of central Cameroon.
-
C.
Bassa Nge language
The Bassa Nge language is a Nupoid language spoken by the Bassa Nge people of central Nigeria.
-
D.
Bambassi language
The Bambassi language is a lesser-known Afroasiatic tongue spoken by communities in western Ethiopia, classified within the North Omotic branch.
-
E.
Bajelani language
The Bajelani language is a lesser-known Northwestern Iranian language spoken primarily by Kurdish communities in parts of Iraq and Iran.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f780fb88190836408c6de3d3966 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.