Triple
T6297862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maroua |
E141174
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object |
Mafa
The Mafa are an ethnic group of the Mandara Mountains region in northern Cameroon and northeastern Nigeria, known for their terraced agriculture and rich cultural traditions.
|
E581805
|
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: Mafa | Statement: [Maroua, hasEthnicGroup, Mafa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mafa Context triple: [Maroua, hasEthnicGroup, Mafa]
-
A.
Haiman
Haiman is a surname and given name that serves as a variant form of "Hyman," often associated with individuals of Jewish heritage.
-
B.
Mamati
Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
-
C.
Mau
Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
-
D.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
-
E.
Mandegusu
Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
- 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: Mafa Triple: [Maroua, hasEthnicGroup, Mafa]
Generated description
The Mafa are an ethnic group of the Mandara Mountains region in northern Cameroon and northeastern Nigeria, known for their terraced agriculture and rich cultural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mafa Target entity description: The Mafa are an ethnic group of the Mandara Mountains region in northern Cameroon and northeastern Nigeria, known for their terraced agriculture and rich cultural traditions.
-
A.
Haiman
Haiman is a surname and given name that serves as a variant form of "Hyman," often associated with individuals of Jewish heritage.
-
B.
Mamati
Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
-
C.
Mau
Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
-
D.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
-
E.
Mandegusu
Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0643bd0748190af7abbebb6f94242 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51993b8ec8190a0813d66851ac201 |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c51eaa277c81908a4566da138c8047 |
completed | March 26, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51f583f788190ac716a02f584f093 |
completed | March 26, 2026, 11:58 a.m. |
Created at: March 22, 2026, 4:27 p.m.