Triple
T6435990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Region (Cameroon) |
E129895
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Mamfe
Mamfe is a town in western Cameroon known as an important local trade and transport hub near the Nigerian border.
|
E595838
|
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: Mamfe | Statement: [Southwest Region (Cameroon), containsCity, Mamfe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamfe Context triple: [Southwest Region (Cameroon), containsCity, Mamfe]
-
A.
Mumuye
The Mumuye are an indigenous ethnic group of northeastern Nigeria known for their distinct language and rich artistic traditions, particularly their stylized wooden sculptures.
-
B.
Majene
Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
-
C.
Mwotlap
Mwotlap is an Oceanic Austronesian language spoken on Mota Lava and nearby islands in northern Vanuatu.
-
D.
Mweelrea
Mweelrea is a prominent mountain in County Mayo, Ireland, known as the highest peak in the province of Connacht and a popular destination for hikers.
-
E.
Omaruru
Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
- 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: Mamfe Triple: [Southwest Region (Cameroon), containsCity, Mamfe]
Generated description
Mamfe is a town in western Cameroon known as an important local trade and transport hub near the Nigerian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mamfe Target entity description: Mamfe is a town in western Cameroon known as an important local trade and transport hub near the Nigerian border.
-
A.
Mumuye
The Mumuye are an indigenous ethnic group of northeastern Nigeria known for their distinct language and rich artistic traditions, particularly their stylized wooden sculptures.
-
B.
Majene
Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
-
C.
Mwotlap
Mwotlap is an Oceanic Austronesian language spoken on Mota Lava and nearby islands in northern Vanuatu.
-
D.
Mweelrea
Mweelrea is a prominent mountain in County Mayo, Ireland, known as the highest peak in the province of Connacht and a popular destination for hikers.
-
E.
Omaruru
Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c069622eb881908b40fc8079d312d6 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6538ca31c8190b4a24662c4eeffe9 |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c6542f23548190a0905c0e2c7341f6 |
completed | March 27, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c654918d9881909f3886ec52a7b00b |
completed | March 27, 2026, 9:57 a.m. |
Created at: March 22, 2026, 4:45 p.m.