Triple
T22253495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingwana dialect |
E550038
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kingwana
Kingwana is a regional variety of Swahili spoken primarily in the Democratic Republic of the Congo and neighboring areas.
|
E1527687
|
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: Kingwana | Statement: [Kingwana dialect, hasAlternativeName, Kingwana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingwana Context triple: [Kingwana dialect, hasAlternativeName, Kingwana]
-
A.
Kingaama
Kingaama is a Bantu language belonging to the Sabaki branch, spoken along the East African coast.
-
B.
Songololo
Songololo is a town in the western Democratic Republic of the Congo, situated near the border with Angola and known as a local transport and trade hub.
-
C.
Lemele
Lemele is a small hamlet in the Dutch municipality of Ommen, known for its rural setting near the Lemelerberg heath and woodland area in the province of Overijssel.
-
D.
Kingunda
Kingunda is a variant form of the female given name Kunegunda, used in certain linguistic or regional contexts.
-
E.
Kusaasi
The Kusaasi are an ethnic group of northern Ghana and southern Burkina Faso, known for their distinct cultural traditions and as native speakers of the Kusaal language.
- 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: Kingwana Triple: [Kingwana dialect, hasAlternativeName, Kingwana]
Generated description
Kingwana is a regional variety of Swahili spoken primarily in the Democratic Republic of the Congo and neighboring areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kingwana Target entity description: Kingwana is a regional variety of Swahili spoken primarily in the Democratic Republic of the Congo and neighboring areas.
-
A.
Kingaama
Kingaama is a Bantu language belonging to the Sabaki branch, spoken along the East African coast.
-
B.
Songololo
Songololo is a town in the western Democratic Republic of the Congo, situated near the border with Angola and known as a local transport and trade hub.
-
C.
Lemele
Lemele is a small hamlet in the Dutch municipality of Ommen, known for its rural setting near the Lemelerberg heath and woodland area in the province of Overijssel.
-
D.
Kingunda
Kingunda is a variant form of the female given name Kunegunda, used in certain linguistic or regional contexts.
-
E.
Kusaasi
The Kusaasi are an ethnic group of northern Ghana and southern Burkina Faso, known for their distinct cultural traditions and as native speakers of the Kusaal language.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c0c4f48190a75473a7835014f1 |
completed | April 28, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab662334c819095b6737e550bd5ce |
completed | May 18, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a0ab77252b0819098e9daa2930ceb6a |
completed | May 18, 2026, 6:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab81e47a08190b4148080f363fcf5 |
completed | May 18, 2026, 6:56 a.m. |
Created at: April 16, 2026, 8:39 p.m.