Triple
T7538388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Banda |
E178208
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Banda-Banda
Banda-Banda is a dialect of the Central Banda language spoken by Banda communities in the Central African region.
|
E672477
|
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: Banda-Banda | Statement: [Central Banda, hasDialect, Banda-Banda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banda-Banda Context triple: [Central Banda, hasDialect, Banda-Banda]
-
A.
Banda Besar
Banda Besar is one of the main volcanic islands in Indonesia’s Banda Sea, known historically as part of the nutmeg-producing Banda Islands.
-
B.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
C.
Tringgus-Sembaan Bidayuh
Tringgus-Sembaan Bidayuh is an Austronesian language spoken by the Bidayuh people in parts of Sarawak, Malaysian Borneo.
-
D.
Bhinneka
Bhinneka is an Indonesian e-commerce company best known as one of the country’s earliest and largest online retailers for electronics and IT products.
-
E.
Dayak lute
The Dayak lute, also known as the sapeh or sape, is a traditional plucked string instrument of the Dayak people of Borneo, used in both ritual and folk music.
- 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: Banda-Banda Triple: [Central Banda, hasDialect, Banda-Banda]
Generated description
Banda-Banda is a dialect of the Central Banda language spoken by Banda communities in the Central African region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banda-Banda Target entity description: Banda-Banda is a dialect of the Central Banda language spoken by Banda communities in the Central African region.
-
A.
Banda Besar
Banda Besar is one of the main volcanic islands in Indonesia’s Banda Sea, known historically as part of the nutmeg-producing Banda Islands.
-
B.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
C.
Tringgus-Sembaan Bidayuh
Tringgus-Sembaan Bidayuh is an Austronesian language spoken by the Bidayuh people in parts of Sarawak, Malaysian Borneo.
-
D.
Bhinneka
Bhinneka is an Indonesian e-commerce company best known as one of the country’s earliest and largest online retailers for electronics and IT products.
-
E.
Dayak lute
The Dayak lute, also known as the sapeh or sape, is a traditional plucked string instrument of the Dayak people of Borneo, used in both ritual and folk music.
- 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_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_69c84f108aec81909b0738b6273d5bd3 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c853ef32288190bcd3c53242bfba25 |
completed | March 28, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c85458fa7481908809f46373445156 |
completed | March 28, 2026, 10:21 p.m. |
Created at: March 27, 2026, 3:48 p.m.