Triple
T7538393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Banda |
E178208
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Banda-Ndele |
E672476
|
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-Ndele | Statement: [Central Banda, hasDialect, Banda-Ndele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banda-Ndele Context triple: [Central Banda, hasDialect, Banda-Ndele]
-
A.
Banda-Ndélé
chosen
Banda-Ndélé is a Banda language variety spoken in the Central African Republic, primarily by the Banda-Ndélé ethnic group.
-
B.
Mbanderu
Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
-
C.
Kizombo
Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
-
D.
Mutombo
Mutombo is a retired Congolese-American NBA Hall of Fame center renowned for his dominant shot-blocking, defensive prowess, and humanitarian work.
-
E.
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.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8710400819088e430c8c550577e |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86834713481908400504fb7b49068 |
completed | March 28, 2026, 11:45 p.m. |
Created at: March 27, 2026, 3:48 p.m.