Triple
T22338289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canon Yaoundé |
E552207
|
entity |
| Predicate | hasRival |
P1375
|
FINISHED |
| Object | Union Douala |
—
|
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: Union Douala | Statement: [Canon Yaoundé, hasRival, Union Douala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union Douala Context triple: [Canon Yaoundé, hasRival, Union Douala]
-
A.
Union Douala
chosen
Union Douala is a professional football club based in Douala, Cameroon, known for competing in the country's top football division.
-
B.
Beni Douala
Beni Douala is a town and commune in northern Algeria, situated in the Kabylie region within Tizi Ouzou Province.
-
C.
Leopard Douala
Leopard Douala is a Cameroonian football club known for being one of the early teams in the career of legendary striker Roger Milla.
-
D.
Port of Douala
The Port of Douala is Cameroon’s principal seaport and a major Central African maritime hub for regional trade and cargo transit.
-
E.
New Star de Douala
New Star de Douala is a professional football club based in Douala, Cameroon, competing in the country’s top domestic leagues.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1578184f481908d4ec1737a8a72d4 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.