Triple
T22884118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foumban Royal Palace |
E567556
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Foumban |
—
|
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: Foumban | Statement: [Foumban Royal Palace, locatedIn, Foumban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foumban Context triple: [Foumban Royal Palace, locatedIn, Foumban]
-
A.
Foumban
chosen
Foumban is a historic Cameroonian city renowned as the cultural and political center of the Bamoun people, noted for its traditional arts, crafts, and royal palace.
-
B.
Bongouanou
Bongouanou is a Central Tano language spoken in parts of West Africa, likely associated with communities in and around the town of Bongouanou in Côte d'Ivoire.
-
C.
Fougamou
Fougamou is a small town in southwestern Gabon that serves as an administrative and transport hub in Ngounié Province.
-
D.
Mbouguiengue
Mbouguiengue is a Gabonese surname, notably borne by Eudoxie Mbouguiengue, a beauty queen and public figure from Gabon.
-
E.
Nossi-Bé
Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fbfc5848190aa612ea51df5a9ec |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:39 p.m.