Triple
T14668640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaonde |
E344446
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Kikaonde |
E344446
|
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: Kikaonde | Statement: [Kaonde, alternativeName, Kikaonde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kikaonde Context triple: [Kaonde, alternativeName, Kikaonde]
-
A.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
B.
Okondja
Okondja is a town in southeastern Gabon known as a local administrative and economic center within the Haut-Ogooué region.
-
C.
Kikoira
Kikoira is a small rural locality situated within the Bland Shire region of New South Wales, Australia.
-
D.
Kachingwe
Kachingwe is the surname of American singer, songwriter, and actress Tinashe, reflecting her Zimbabwean heritage.
-
E.
Kaonde
chosen
Kaonde is a Bantu language spoken primarily by the Kaonde people of northwestern Zambia and parts of the Democratic Republic of the Congo.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54dda1c8190bf16d17e26a2bba6 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e9bb2081908515ab6430e9b1c2 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.