Triple
T21917151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamileke languages |
E541208
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Ngemba languages |
—
|
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: Ngemba languages | Statement: [Bamileke languages, closelyRelatedTo, Ngemba languages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngemba languages Context triple: [Bamileke languages, closelyRelatedTo, Ngemba languages]
-
A.
Ngemba languages
chosen
The Ngemba languages are a group of closely related Bantoid languages spoken primarily in the Grassfields region of Cameroon.
-
B.
Bangi–Ntomba languages
The Bangi–Ntomba languages are a group of closely related Bantu languages spoken primarily in the Congo River basin of Central Africa.
-
C.
Makaa–Njem languages
The Makaa–Njem languages are a group of closely related Bantu languages spoken primarily in southern Cameroon, Gabon, and neighboring Central African regions.
-
D.
Teke–Mbede languages
The Teke–Mbede languages are a group of closely related Bantu languages spoken primarily in Gabon and neighboring Central African countries.
-
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.