Triple
T11499668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zande language |
E272630
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Nzakara
Nzakara is a Central African language variety closely related to Zande, spoken primarily in parts of the Central African Republic and neighboring regions.
|
E929318
|
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: Nzakara | Statement: [Zande language, hasDialects, Nzakara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nzakara Context triple: [Zande language, hasDialects, Nzakara]
-
A.
Nkambe
Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
-
B.
Nzega
Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
-
C.
Nkob
Nkob is a small village in southeastern Morocco known for its traditional mud-brick kasbahs and as a gateway to the Jbel Saghro mountains.
-
D.
Ndzebi
Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
-
E.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
- 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: Nzakara Triple: [Zande language, hasDialects, Nzakara]
Generated description
Nzakara is a Central African language variety closely related to Zande, spoken primarily in parts of the Central African Republic and neighboring regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nzakara Target entity description: Nzakara is a Central African language variety closely related to Zande, spoken primarily in parts of the Central African Republic and neighboring regions.
-
A.
Nkambe
Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
-
B.
Nzega
Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
-
C.
Nkob
Nkob is a small village in southeastern Morocco known for its traditional mud-brick kasbahs and as a gateway to the Jbel Saghro mountains.
-
D.
Ndzebi
Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
-
E.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de3e9c881909d6c55334f7a832d |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604aa9e3c8190ad86e4d05a67c8ac |
completed | April 20, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69e610a82c308190927158dbd566b0d4 |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e61853a3b48190b0d132761e9be69c |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.