Triple
T22827058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bafoussam |
E565687
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Bafoussam I |
—
|
NE NERFINISHED |
How this triple was built (2 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: Bafoussam I | Statement: [Bafoussam, hasSubdivision, Bafoussam I]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bafoussam I Context triple: [Bafoussam, hasSubdivision, Bafoussam I]
-
A.
Bafoussam
chosen
Bafoussam is a major city in western Cameroon known as an important economic and cultural center of the Bamileke people.
-
B.
Kousséri
Kousséri is a town in northern Cameroon located on the Logone River, serving as a key border crossing and commercial link with N'Djamena, the capital of Chad.
-
C.
Dzaoudzi
Dzaoudzi is a coastal town on the island of Petite-Terre in Mayotte, serving as one of the territory’s main urban centers and former capital.
-
D.
Zinder
Zinder is a major city in southern Niger known as an important historical and commercial center in the Sahel region.
-
E.
Maradi
Maradi is a key commercial and population center in southern Niger, known as one of the country’s largest and most economically important cities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2832b8819091c1dfd2cd598b90 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:34 p.m.