Triple
T11856793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Central Sudanic languages |
E282059
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Kaba language |
E262847
|
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: Kaba language | Statement: [West Central Sudanic languages, hasMember, Kaba language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaba language Context triple: [West Central Sudanic languages, hasMember, Kaba language]
-
A.
Kaba language
chosen
The Kaba language is a Central Sudanic language spoken primarily in parts of Chad and the Central African Republic by Kaba ethnic groups.
-
B.
Kabba language
Kabba is a Niger-Congo language of the Adamawa–Ubangi branch spoken primarily in the Central African Republic.
-
C.
Babanki language
The Babanki language is a Grassfields Bantu language spoken by the Babanki people in Cameroon.
-
D.
Kaxabu language
The Kaxabu language is an indigenous Formosan language of Taiwan spoken by the Kaxabu people and considered highly endangered.
-
E.
Dagbani language
Dagbani is a major Gur language of northern Ghana, spoken primarily by the Dagomba people and used widely in education, media, and regional communication.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a699089c8190b7a298baf13dcded |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f167d9b9e8819093582637941fc5ca |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 8, 2026, 9:43 p.m.