Triple
T6771317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baoulé language |
E155047
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Kossou dialect |
E155047
|
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: Kossou dialect | Statement: [Baoulé language, hasDialects, Kossou dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kossou dialect Context triple: [Baoulé language, hasDialects, Kossou dialect]
-
A.
Amedzofe dialect
The Amedzofe dialect is a regional variety of the Ewe language spoken in and around the town of Amedzofe in Ghana.
-
B.
Baoulé language
chosen
The Baoulé language is a Niger-Congo language spoken primarily by the Baoulé people of central Côte d'Ivoire.
-
C.
Bamendjou dialect
The Bamendjou dialect is a regional variety of the Ghomalaʼ language spoken by the Bamendjou people in Cameroon’s Western Grassfields.
-
D.
Lolobi dialect
The Lolobi dialect is a regional variety of the Siwu language spoken by the Lolobi people in the Volta Region of Ghana.
-
E.
Kingwana dialect
The Kingwana dialect is a regional variety of Swahili spoken primarily in the Democratic Republic of the Congo and neighboring areas, known for its distinctive vocabulary and phonological features.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2496fa08190895d8b625fb0d699 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f8c0a3481909f33d2252cc1860c |
completed | March 28, 2026, 1:31 a.m. |
Created at: March 27, 2026, 2:13 p.m.