Triple
T6077265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foumban Royal Palace |
E135430
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Foumban |
E569434
|
NE FINISHED |
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.
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.
-
C.
Duékoué
Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
-
D.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
E.
Lambaréné
Lambaréné is a town in western Gabon best known for its location on the Ogooué River and for hosting the historic Albert Schweitzer Hospital.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c1357be6fc819092845e1ffe988c16 |
completed | March 23, 2026, 12:43 p.m. |
Created at: March 22, 2026, 4:11 p.m.