Triple
T6435944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest Region (Cameroon) |
E129894
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Fundong
Fundong is a town and commune in Cameroon that serves as an administrative and commercial center in the country's Northwest Region.
|
E593167
|
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: Fundong | Statement: [Northwest Region (Cameroon), contains, Fundong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fundong Context triple: [Northwest Region (Cameroon), contains, Fundong]
-
A.
Fondi
Fondi is a historic town in the Lazio region of central Italy, known for its medieval architecture and strategic location between Rome and Naples.
-
B.
Rahan
Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
-
C.
Newton Fund
The Newton Fund is a UK government initiative that supports international research and innovation partnerships with developing countries to promote economic development and social welfare.
-
D.
Bankal
Bankal is a Jarawan Bantu language spoken by a small ethnic community in Nigeria.
-
E.
FED
FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
- 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: Fundong Triple: [Northwest Region (Cameroon), contains, Fundong]
Generated description
Fundong is a town and commune in Cameroon that serves as an administrative and commercial center in the country's Northwest Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fundong Target entity description: Fundong is a town and commune in Cameroon that serves as an administrative and commercial center in the country's Northwest Region.
-
A.
Fondi
Fondi is a historic town in the Lazio region of central Italy, known for its medieval architecture and strategic location between Rome and Naples.
-
B.
Rahan
Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
-
C.
Newton Fund
The Newton Fund is a UK government initiative that supports international research and innovation partnerships with developing countries to promote economic development and social welfare.
-
D.
Bankal
Bankal is a Jarawan Bantu language spoken by a small ethnic community in Nigeria.
-
E.
FED
FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
- 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_69c640f2915c8190aea3578dcd77dd5f |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c64237ae8881908bbaa2760113da7c |
completed | March 27, 2026, 8:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64658463c8190a1d68beec15cab3d |
completed | March 27, 2026, 8:56 a.m. |
Created at: March 22, 2026, 4:45 p.m.