Triple
T19145379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mbum |
E468664
|
entity |
| Predicate | speaks |
P741
|
FINISHED |
| Object | Mbum 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: Mbum language | Statement: [Mbum, speaks, Mbum language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbum language Context triple: [Mbum, speaks, Mbum language]
-
A.
Mbum languages
chosen
The Mbum languages are a group of closely related Niger-Congo languages spoken primarily in parts of Cameroon, the Central African Republic, and Chad.
-
B.
Buduma language
The Buduma language is an Afro-Asiatic language spoken by the Buduma (Yedina) people around Lake Chad, particularly in Chad and Cameroon.
-
C.
Bambam language
The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
-
D.
Medumba language
Medumba is a Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
-
E.
Kumbewaha language
The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e978b0b481909a531efa030c5def |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.