Triple
T23149217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewondo language |
E578275
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Yaunde |
E1201571
|
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: Yaunde | Statement: [Ewondo language, hasAlternativeName, Yaunde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaunde Context triple: [Ewondo language, hasAlternativeName, Yaunde]
-
A.
Yaunde
chosen
Yaunde is an alternative name for Kolo, likely referring to the same place or entity under a different local or historical designation.
-
B.
Mogoro
Mogoro is a small town and municipality in central-western Sardinia, Italy, known for its traditional crafts and wine production.
-
C.
Limuru
Limuru is a highland town in central Kenya known for its cool climate, tea plantations, and proximity to Nairobi.
-
D.
Oshakati
Oshakati is a major northern Namibian town that serves as an important commercial and administrative hub.
-
E.
Mbewuleni
Mbewuleni is a rural village in South Africa’s Eastern Cape province, best known as the birthplace of former South African president Thabo Mbeki.
- 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_6a0c30963b3c8190a4ffb48b03fbf77a |
completed | May 19, 2026, 9:42 a.m. |
Created at: April 17, 2026, 4:01 p.m.