Triple
T11827904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beti-Fang languages |
E281303
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Ewondo language |
E91177
|
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: Ewondo language | Statement: [Beti-Fang languages, closelyRelatedTo, Ewondo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewondo language Context triple: [Beti-Fang languages, closelyRelatedTo, Ewondo language]
-
A.
Ewondo language
chosen
Ewondo is a Bantu language spoken primarily in central Cameroon, notably around the capital Yaoundé, by the Ewondo (Yaoundé) people.
-
B.
Sateré-Mawé language
The Sateré-Mawé language is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
-
C.
Tontemboan language
The Tontemboan language is an Austronesian language spoken by the Tontemboan people of North Sulawesi, Indonesia, and is one of the traditional Minahasan languages of the region.
-
D.
Konongo language
The Konongo language is a Bantu language of East Africa, closely related to Sukuma and spoken by the Konongo people.
-
E.
Okpamheri language
The Okpamheri language is a lesser-known Edoid language spoken by a small ethnic community in southern Nigeria.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ec3a148190bb184ba0d481b16a |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1672e736481909ba5f867cb840039 |
completed | April 29, 2026, 2:04 a.m. |
Created at: April 8, 2026, 9:43 p.m.