Triple
T2566123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kikongo |
E57354
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Kikamba-Doondo
Kikamba-Doondo is a regional dialect of the Bantu language Kikongo, spoken by communities in parts of Central Africa.
|
E279952
|
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: Kikamba-Doondo | Statement: [Kikongo, hasDialect, Kikamba-Doondo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kikamba-Doondo Context triple: [Kikongo, hasDialect, Kikamba-Doondo]
-
A.
Umbundu
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
-
B.
Gambiri Kati
Gambiri Kati is an alternative name for the Tregami language, an Indo-Iranian language spoken in parts of eastern Afghanistan.
-
C.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
D.
Ngamo
Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
-
E.
Chikanga
Chikanga is a high-density residential suburb of Mutare, a major city in eastern Zimbabwe.
- 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: Kikamba-Doondo Triple: [Kikongo, hasDialect, Kikamba-Doondo]
Generated description
Kikamba-Doondo is a regional dialect of the Bantu language Kikongo, spoken by communities in parts of Central Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kikamba-Doondo Target entity description: Kikamba-Doondo is a regional dialect of the Bantu language Kikongo, spoken by communities in parts of Central Africa.
-
A.
Umbundu
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
-
B.
Gambiri Kati
Gambiri Kati is an alternative name for the Tregami language, an Indo-Iranian language spoken in parts of eastern Afghanistan.
-
C.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
D.
Ngamo
Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
-
E.
Chikanga
Chikanga is a high-density residential suburb of Mutare, a major city in eastern Zimbabwe.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35ef22c8190966612cc75f69eca |
completed | March 7, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6562d6f08190a2be483b06a789cc |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af669436208190901d1f34592c1a42 |
completed | March 10, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af6760cf7c8190bb681f573828049e |
completed | March 10, 2026, 12:35 a.m. |
Created at: March 6, 2026, 9:48 p.m.