Triple
T21804168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senzangakhona kaJama |
E538306
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Jama kaNdaba |
—
|
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: Jama kaNdaba | Statement: [Senzangakhona kaJama, predecessor, Jama kaNdaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jama kaNdaba Context triple: [Senzangakhona kaJama, predecessor, Jama kaNdaba]
-
A.
Jama kaNdaba
chosen
Jama kaNdaba was an 18th-century Zulu king and clan leader, best known as the grandfather of the famous Zulu king Shaka.
-
B.
Kijitonyama
Kijitonyama is a residential and commercial neighborhood in Dar es Salaam, Tanzania, known as one of the urban wards within the Kinondoni District.
-
C.
Kishambaa
Kishambaa is an alternative name for the Shambala language, a Bantu language spoken primarily in northeastern Tanzania.
-
D.
Kikamba-Doondo
Kikamba-Doondo is a regional dialect of the Bantu language Kikongo, spoken by communities in parts of Central Africa.
-
E.
Atandwa Kani
Atandwa Kani is a South African actor known for his work in film, television, and theater, including roles in major international productions.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780126e88190a93dd8d0519eb8fc |
completed | April 28, 2026, 9:04 a.m. |
Created at: April 16, 2026, 6:53 p.m.