Triple
T19782792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Province, Zambia |
E475179
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Kaoma |
—
|
NE NERFINISHED |
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: Kaoma | Statement: [Western Province, Zambia, hasSettlement, Kaoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaoma Context triple: [Western Province, Zambia, hasSettlement, Kaoma]
-
A.
Kaoma
chosen
Kaoma is a significant town in western Zambia that serves as an important administrative and commercial center for the Barotseland region.
-
B.
Kaoma
Kaoma was a French-Brazilian band best known for their 1989 worldwide hit dance single "Lambada."
-
C.
Eligh
Eligh is an American underground hip hop artist and producer best known as a member of the Living Legends collective and for his prolific solo and collaborative work.
-
D.
Timaya
Timaya is a Nigerian singer and songwriter known for his influential role in contemporary Afrobeat and dancehall music.
-
E.
Madeon
Madeon is a French electronic music producer and DJ known for his intricate, melodic dance tracks and collaborations with artists like Porter Robinson.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653852e848190b8971981a164e8f9 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.