Triple
T8278170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jola language |
E193598
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Jola-Felupe |
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-Felupe | Statement: [Jola language, hasDialect, Jola-Felupe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jola-Felupe Context triple: [Jola language, hasDialect, Jola-Felupe]
-
A.
Jola
chosen
Jola is a Niger–Congo language spoken primarily by the Jola people of southern Senegal and neighboring regions.
-
B.
Bachué
Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
-
C.
Maoutia
Maoutia is a small genus of flowering plants in the nettle family Urticaceae, native to parts of Asia and the Pacific.
-
D.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
E.
Benijo
Benijo is a remote black-sand beach on the northern coast of Tenerife in the Canary Islands, known for its dramatic rock formations, powerful Atlantic waves, and striking sunsets.
- 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_69cdc6ca48308190bd7a6c84d5954279 |
completed | April 2, 2026, 1:30 a.m. |
Created at: March 30, 2026, 5:51 p.m.