Triple
T8278168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jola language |
E193598
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Jola-Karon |
E193598
|
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: Jola-Karon | Statement: [Jola language, hasDialect, Jola-Karon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jola-Karon Context triple: [Jola language, hasDialect, Jola-Karon]
-
A.
Jola
chosen
Jola is a Niger–Congo language spoken primarily by the Jola people of southern Senegal and neighboring regions.
-
B.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
-
C.
Kidal
Kidal is a remote desert town in northeastern Mali that serves as a key cultural and political center for Tuareg communities in the Adagh region.
-
D.
Dyola
Dyola is an alternative name for the Jola language spoken by the Jola people of West Africa, primarily in Senegal, Gambia, and Guinea-Bissau.
-
E.
Cayor
Cayor was a precolonial Wolof kingdom in what is now Senegal, emerging as a major regional power after the decline of the Wolof Empire.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ebb6b88190bc777b8bd72fcdbc |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd951c06b88190962b108b3325d30b |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:51 p.m.