Triple
T11773168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kivili |
E279949
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Kisikongo |
E57354
|
NE FINISHED |
How this triple was built (2 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: Kisikongo | Statement: [Kivili, closelyRelatedTo, Kisikongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kisikongo Context triple: [Kivili, closelyRelatedTo, Kisikongo]
-
A.
Kikongo
chosen
Kikongo is a Bantu language widely spoken in Central Africa, particularly in the western regions of the Democratic Republic of the Congo and neighboring countries.
-
B.
Konongo language
The Konongo language is a Bantu language of East Africa, closely related to Sukuma and spoken by the Konongo people.
-
C.
Kwanyama
Kwanyama is a major standardized dialect of the Ovambo language spoken primarily in northern Namibia and southern Angola.
-
D.
Bakongo
The Bakongo are a Bantu-speaking ethnic group of Central Africa, primarily inhabiting regions of Angola, the Democratic Republic of the Congo, and the Republic of the Congo, known for their rich cultural traditions and historical Kongo Kingdom heritage.
-
E.
Luba
Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55dfa088190a59b35d0247225e3 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f130b45ce081908669f4287961da7c |
completed | April 28, 2026, 10:12 p.m. |
Created at: April 8, 2026, 9:41 p.m.