Triple
T6077241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Region |
E135430
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Haut-Nkam
Haut-Nkam is an administrative department in western Cameroon known for its mix of highland landscapes, agriculture, and small urban centers.
|
E565689
|
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: Haut-Nkam | Statement: [West Region, hasDepartment, Haut-Nkam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haut-Nkam Context triple: [West Region, hasDepartment, Haut-Nkam]
-
A.
Kié-Ntem
Kié-Ntem is a province in mainland Equatorial Guinea known for its largely forested landscapes and border location with Cameroon and Gabon.
-
B.
Ngounié Province
Ngounié Province is an inland administrative region in southwestern Gabon known for its forests, rivers, and ethnolinguistic diversity.
-
C.
Etung
Etung is a local government area in southeastern Nigeria known for its diverse communities and agricultural activities within Cross River State.
-
D.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
E.
Aboh Mbaise
Aboh Mbaise is a local government area in southeastern Nigeria known for its predominantly Igbo population and rich cultural traditions.
- 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: Haut-Nkam Triple: [West Region, hasDepartment, Haut-Nkam]
Generated description
Haut-Nkam is an administrative department in western Cameroon known for its mix of highland landscapes, agriculture, and small urban centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haut-Nkam Target entity description: Haut-Nkam is an administrative department in western Cameroon known for its mix of highland landscapes, agriculture, and small urban centers.
-
A.
Kié-Ntem
Kié-Ntem is a province in mainland Equatorial Guinea known for its largely forested landscapes and border location with Cameroon and Gabon.
-
B.
Ngounié Province
Ngounié Province is an inland administrative region in southwestern Gabon known for its forests, rivers, and ethnolinguistic diversity.
-
C.
Etung
Etung is a local government area in southeastern Nigeria known for its diverse communities and agricultural activities within Cross River State.
-
D.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
E.
Aboh Mbaise
Aboh Mbaise is a local government area in southeastern Nigeria known for its predominantly Igbo population and rich cultural traditions.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0576ef2c88190b0ec62e9f041d176 |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d43f7908190845c2337cd243a3c |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11db0b62c81908584215a5092a7a8 |
completed | March 23, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11e4685d08190ac97e2356e64527e |
completed | March 23, 2026, 11:04 a.m. |
Created at: March 22, 2026, 4:11 p.m.