Triple
T10248046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mbede |
E240268
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Mbere-Mbede |
E854829
|
NE FINISHED |
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: Mbere-Mbede | Statement: [Mbede, hasDialect, Mbere-Mbede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbere-Mbede Context triple: [Mbede, hasDialect, Mbere-Mbede]
-
A.
Mbete-Mbede
chosen
Mbete-Mbede is a Bantu language spoken by the Mbete people primarily in parts of Gabon and the Republic of the Congo.
-
B.
Mbanderu
Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
-
C.
Mbede
Mbede is a Bantu language spoken in Central Africa, primarily in Gabon and neighboring regions.
-
D.
Mundemba
Mundemba is a town in southwestern Cameroon known as a gateway to the biodiverse Korup National Park.
-
E.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22e0d4c8190a6712859924e9d3d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794ad73508190880a1030d483f5a8 |
completed | April 9, 2026, 11:59 a.m. |
Created at: April 6, 2026, 11:27 a.m.