Triple
T22278782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coton Sport FC de Garoua |
E550676
|
entity |
| Predicate | hasRival |
P1375
|
FINISHED |
| Object | Canon Yaoundé |
—
|
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: Canon Yaoundé | Statement: [Coton Sport FC de Garoua, hasRival, Canon Yaoundé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canon Yaoundé Context triple: [Coton Sport FC de Garoua, hasRival, Canon Yaoundé]
-
A.
Canon Yaoundé
chosen
Canon Yaoundé is a prominent Cameroonian football club historically renowned for its multiple African club championship titles and strong influence in African football.
-
B.
Tonnerre Yaoundé
Tonnerre Yaoundé is a prominent Cameroonian football club based in Yaoundé, known for producing legendary players such as Roger Milla.
-
C.
Union Douala
Union Douala is a professional football club based in Douala, Cameroon, known for competing in the country's top football division.
-
D.
Beni Douala
Beni Douala is a town and commune in northern Algeria, situated in the Kabylie region within Tizi Ouzou Province.
-
E.
Yaoundé
Yaoundé is the political and administrative center of Cameroon, known for its hilly terrain and role as a major cultural and economic hub in Central Africa.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea96948819081c1ae6c7b11ab62 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.