Triple
T8278167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jola language |
E193598
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Jola-Bandial
Jola-Bandial is a Niger-Congo language variety spoken by the Jola people of the Casamance region in southern Senegal.
|
E723141
|
NE FINISHED |
How this triple was built (4 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-Bandial | Statement: [Jola language, hasDialect, Jola-Bandial]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jola-Bandial Context triple: [Jola language, hasDialect, Jola-Bandial]
-
A.
Badja Djola
Badja Djola was an American character actor known for his intense and memorable supporting roles in films and television from the 1970s through the 1990s.
-
B.
Moussa
Moussa is the protagonist of the work "Child of Fortune," around whom the story’s central events and character development revolve.
-
C.
Amidou
Amidou is a character associated with sorcery and the mystical arts, often depicted in connection with a powerful sorcerer.
-
D.
Beledugu Bambara
Beledugu Bambara is a regional variety of the Bambara language spoken in the Beledugu area of Mali, characterized by its own distinctive phonological and lexical features.
-
E.
Nzem Berom
Nzem Berom is a major annual cultural festival of the Berom people of Nigeria, showcasing their traditional music, dance, attire, and heritage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jola-Bandial Triple: [Jola language, hasDialect, Jola-Bandial]
Generated description
Jola-Bandial is a Niger-Congo language variety spoken by the Jola people of the Casamance region in southern Senegal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jola-Bandial Target entity description: Jola-Bandial is a Niger-Congo language variety spoken by the Jola people of the Casamance region in southern Senegal.
-
A.
Badja Djola
Badja Djola was an American character actor known for his intense and memorable supporting roles in films and television from the 1970s through the 1990s.
-
B.
Moussa
Moussa is the protagonist of the work "Child of Fortune," around whom the story’s central events and character development revolve.
-
C.
Amidou
Amidou is a character associated with sorcery and the mystical arts, often depicted in connection with a powerful sorcerer.
-
D.
Beledugu Bambara
Beledugu Bambara is a regional variety of the Bambara language spoken in the Beledugu area of Mali, characterized by its own distinctive phonological and lexical features.
-
E.
Nzem Berom
Nzem Berom is a major annual cultural festival of the Berom people of Nigeria, showcasing their traditional music, dance, attire, and heritage.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69cd6d5441248190a9e32281dc8e8d62 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e0d1b8c8190b5183cc176432061 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:51 p.m.