Triple
T21917135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamileke languages |
E541208
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Medumba 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: Medumba language | Statement: [Bamileke languages, hasMember, Medumba language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medumba language Context triple: [Bamileke languages, hasMember, Medumba language]
-
A.
Medumba language
chosen
Medumba is a Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
-
B.
Kumbewaha language
The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
-
C.
Mambae language
The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
-
D.
Chumburung language
The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
-
E.
Tembe language
The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233858308190a877d8015db4d380 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:43 p.m.