Triple
T8341504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banda-Gbi language |
E195925
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Banda-Gbi |
E672480
|
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: Banda-Gbi | Statement: [Banda-Gbi language, glottologName, Banda-Gbi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banda-Gbi Context triple: [Banda-Gbi language, glottologName, Banda-Gbi]
-
A.
Ngbandi
Ngbandi is a Central African language spoken primarily in the Democratic Republic of the Congo and the Central African Republic, known for its role as a regional lingua franca and its inclusion in the Ubangian language family.
-
B.
Gbona
"Gbona" is a popular Afro-fusion song by Nigerian artist Burna Boy, known for its laid-back groove, Yoruba-infused lyrics, and celebration of African resilience and warmth.
-
C.
Sagbama
Sagbama is a town and local government area in Bayelsa State in Nigeria’s Niger Delta region, known for its riverine communities and oil-rich environment.
-
D.
Banda-Yangere
chosen
Banda-Yangere is a dialect of the Central Banda language spoken by Banda communities in parts of Central Africa.
-
E.
Jirapa
Jirapa is a town in Ghana that serves as a local administrative and commercial center in the country’s Upper West Region.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fe8989481909b32d4bfd586372d |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde79e916c8190afc90c3b12c68caf |
completed | April 2, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:58 p.m.