Triple
T8278169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jola language |
E193598
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Jola-Bliss |
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-Bliss | Statement: [Jola language, hasDialect, Jola-Bliss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jola-Bliss Context triple: [Jola language, hasDialect, Jola-Bliss]
-
A.
Meya
Meya is a variant form of the given name Maya, often used as a feminine personal name.
-
B.
Kaolie
Kaolie was a monarch of the ancient Chinese state of Chu during the Warring States period, remembered primarily through historical records that preserve his posthumous title.
-
C.
Jopie
Jopie is a given name most notably associated with Jopie Fourie, an Afrikaner rebel and national figure in early 20th-century South African history.
-
D.
Moll
Moll is a character in the 1937 pro-labor musical play "The Cradle Will Rock," representing the struggles of the working class under corrupt capitalist forces.
-
E.
Jola
chosen
Jola is a Niger–Congo language spoken primarily by the Jola people of southern Senegal and neighboring regions.
- 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_69cd6863c22c8190b888a23bb9005712 |
completed | April 1, 2026, 6:48 p.m. |
Created at: March 30, 2026, 5:51 p.m.