Triple
T11397518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumuye language |
E270015
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Kpugbong Mumuye
Kpugbong Mumuye is a regional dialect of the Mumuye language spoken by the Mumuye people of Nigeria.
|
E923585
|
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: Kpugbong Mumuye | Statement: [Mumuye language, hasDialect, Kpugbong Mumuye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kpugbong Mumuye Context triple: [Mumuye language, hasDialect, Kpugbong Mumuye]
-
A.
Ogwumike
Ogwumike is a Nigerian surname most prominently associated with a family of professional basketball players, including WNBA star Nneka Ogwumike.
-
B.
Mbanza-Ngungu
Mbanza-Ngungu is a town in western Democratic Republic of the Congo known as a regional commercial center and for its nearby Thysville Caves.
-
C.
Nwapa
Nwapa is the surname of Flora Nwapa, a pioneering Nigerian novelist often regarded as the mother of modern African women’s literature.
-
D.
Rumuigbo
Rumuigbo is a prominent suburban town in Rivers State, Nigeria, situated within the greater Port Harcourt metropolitan area.
-
E.
Nanumba
The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
- 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: Kpugbong Mumuye Triple: [Mumuye language, hasDialect, Kpugbong Mumuye]
Generated description
Kpugbong Mumuye is a regional dialect of the Mumuye language spoken by the Mumuye people of Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kpugbong Mumuye Target entity description: Kpugbong Mumuye is a regional dialect of the Mumuye language spoken by the Mumuye people of Nigeria.
-
A.
Ogwumike
Ogwumike is a Nigerian surname most prominently associated with a family of professional basketball players, including WNBA star Nneka Ogwumike.
-
B.
Mbanza-Ngungu
Mbanza-Ngungu is a town in western Democratic Republic of the Congo known as a regional commercial center and for its nearby Thysville Caves.
-
C.
Nwapa
Nwapa is the surname of Flora Nwapa, a pioneering Nigerian novelist often regarded as the mother of modern African women’s literature.
-
D.
Rumuigbo
Rumuigbo is a prominent suburban town in Rivers State, Nigeria, situated within the greater Port Harcourt metropolitan area.
-
E.
Nanumba
The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
- 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_69e58cd74280819092f8c420630f4889 |
completed | April 20, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69e59774e6648190a38b2515a83c2e0c |
completed | April 20, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5a3abf24481908fb71f4ef6b13532 |
completed | April 20, 2026, 3:55 a.m. |
Created at: April 8, 2026, 9:34 p.m.