Triple
T3991591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beti languages |
E87001
|
entity |
| Predicate | hasMember |
P10
|
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 languages, hasMember, Ewondo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewondo language Context triple: [Beti languages, hasMember, 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.
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.
-
C.
Konjo language
The Konjo language is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia, known for its distinct coastal and highland dialects.
-
D.
Banda-Ndélé language
The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
-
E.
Baoulé language
The Baoulé language is a Niger-Congo language spoken primarily by the Baoulé people of central Côte d'Ivoire.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa02ed6881908e31d342413fed26 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54035e92c81909dc2be18719b062c |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:33 p.m.