Triple
T11253962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngbaka language |
E266389
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object |
Ngbaka
Ngbaka is a Ubangian language spoken primarily in the Central African Republic and the Democratic Republic of the Congo by the Ngbaka people.
|
E914520
|
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: Ngbaka | Statement: [Ngbaka language, glottologName, Ngbaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngbaka Context triple: [Ngbaka language, glottologName, Ngbaka]
-
A.
Ngbaka Gbaya
Ngbaka Gbaya is a dialect of the Ngbaka language spoken by the Ngbaka Gbaya people in parts of Central Africa.
-
B.
Bakwa
Bakwa is a town and district center in Afghanistan known for its location in the southwestern Farah Province.
-
C.
Njaba
Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
-
D.
Kabaena
Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
-
E.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
- 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: Ngbaka Triple: [Ngbaka language, glottologName, Ngbaka]
Generated description
Ngbaka is a Ubangian language spoken primarily in the Central African Republic and the Democratic Republic of the Congo by the Ngbaka people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ngbaka Target entity description: Ngbaka is a Ubangian language spoken primarily in the Central African Republic and the Democratic Republic of the Congo by the Ngbaka people.
-
A.
Ngbaka Gbaya
chosen
Ngbaka Gbaya is a dialect of the Ngbaka language spoken by the Ngbaka Gbaya people in parts of Central Africa.
-
B.
Bakwa
Bakwa is a town and district center in Afghanistan known for its location in the southwestern Farah Province.
-
C.
Njaba
Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
-
D.
Kabaena
Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
-
E.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
- F. None of above.
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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9346f4c8190b29c2cf3a29cd1d1 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f40019588190864c59e8451e80bd |
completed | April 19, 2026, 3:25 p.m. |
| NEDg | Description generation | batch_69e4f7dbfafc8190afa1e9fe67f1296e |
completed | April 19, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff4645948190a2bfcc3a4efd8e2a |
completed | April 19, 2026, 4:13 p.m. |
Created at: April 8, 2026, 9:31 p.m.