Triple
T11397515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumuye language |
E270015
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Yoro Mumuye
Yoro Mumuye is a regional dialect of the Mumuye language spoken by Mumuye communities in parts of Nigeria.
|
E925179
|
NE FINISHED |
How this triple was built (4 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: Yoro Mumuye | Statement: [Mumuye language, hasDialect, Yoro Mumuye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoro Mumuye Context triple: [Mumuye language, hasDialect, Yoro Mumuye]
-
A.
Zing Mumuye
Zing Mumuye is a regional dialect of the Mumuye language spoken by communities in and around the Zing area of Nigeria.
-
B.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
C.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
-
D.
Nanumba
The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
-
E.
Mbundu
Mbundu is a major Bantu ethnic group of Angola, known for its distinct language and significant cultural and historical influence in the region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yoro Mumuye Triple: [Mumuye language, hasDialect, Yoro Mumuye]
Generated description
Yoro Mumuye is a regional dialect of the Mumuye language spoken by Mumuye communities in parts of Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yoro Mumuye Target entity description: Yoro Mumuye is a regional dialect of the Mumuye language spoken by Mumuye communities in parts of Nigeria.
-
A.
Zing Mumuye
Zing Mumuye is a regional dialect of the Mumuye language spoken by communities in and around the Zing area of Nigeria.
-
B.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
C.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
-
D.
Nanumba
The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
-
E.
Mbundu
Mbundu is a major Bantu ethnic group of Angola, known for its distinct language and significant cultural and historical influence in the region.
- F. None of above. chosen
Provenance (5 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80019d3d48190a2f473deb6eae33a |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8250c288190b5bff70f7445b815 |
completed | April 20, 2026, 5:22 a.m. |
| NEDg | Description generation | batch_69e5c289b5ac81909bdaec61a66f6654 |
completed | April 20, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c43f4b4c8190aeae600364d2e4ac |
completed | April 20, 2026, 6:14 a.m. |
Created at: April 8, 2026, 9:34 p.m.