Triple
T23149218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewondo language |
E578275
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Yaounde |
E129885
|
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: Yaounde | Statement: [Ewondo language, hasAlternativeName, Yaounde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaounde Context triple: [Ewondo language, hasAlternativeName, Yaounde]
-
A.
Yaoundé
chosen
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.
-
B.
Douala
Douala is the economic capital and main port city of Cameroon, located on the Wouri River along the Atlantic coast.
-
C.
Ouaga
Ouaga is the commonly used short name for Ouagadougou, the capital and largest city of Burkina Faso.
-
D.
Bangui
Bangui is the capital and largest city of the Central African Republic, serving as its political, economic, and cultural center.
-
E.
Bangui
Bangui is a coastal municipality in Ilocos Norte, Philippines, best known for its iconic wind farm of giant turbines along the shoreline.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ed0b76c8190ac61b949d88e9970 |
completed | April 29, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5daffdc4819092f5750e3ee2d402 |
completed | May 19, 2026, 12:55 p.m. |
Created at: April 17, 2026, 4:01 p.m.