Triple
T16617409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Littoral Region of Cameroon |
E403729
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Loum
Loum is a town in Cameroon's Littoral Region, known primarily as an agricultural center in the country's western highlands.
|
E1225805
|
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: Loum | Statement: [Littoral Region of Cameroon, containsTown, Loum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loum Context triple: [Littoral Region of Cameroon, containsTown, Loum]
-
A.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
-
B.
Koulamoutou
Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
-
C.
Langoué Baï
Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
-
D.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
-
E.
N’Guigmi
N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
- 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: Loum Triple: [Littoral Region of Cameroon, containsTown, Loum]
Generated description
Loum is a town in Cameroon's Littoral Region, known primarily as an agricultural center in the country's western highlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loum Target entity description: Loum is a town in Cameroon's Littoral Region, known primarily as an agricultural center in the country's western highlands.
-
A.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
-
B.
Koulamoutou
Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
-
C.
Langoué Baï
Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
-
D.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
-
E.
N’Guigmi
N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754ac9dc8190965197024594742b |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b40c288190afda6c7643b61e85 |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a008585ba6c8190b5c870ebe1c93ffc |
completed | May 10, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008624706881909e9a265a37eeb3fc |
completed | May 10, 2026, 1:20 p.m. |
Created at: April 10, 2026, 5:17 a.m.