Triple
T9122384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misuzulu Zulu kaZwelithini |
E218884
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Nongoma, KwaZulu-Natal |
E606482
|
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: Nongoma, KwaZulu-Natal | Statement: [Misuzulu Zulu kaZwelithini, residence, Nongoma, KwaZulu-Natal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nongoma, KwaZulu-Natal Context triple: [Misuzulu Zulu kaZwelithini, residence, Nongoma, KwaZulu-Natal]
-
A.
Ladysmith, KwaZulu-Natal
Ladysmith, KwaZulu-Natal is a historic town in South Africa known for its role in the Anglo-Boer War and as a regional commercial and transport hub.
-
B.
Nongoma
chosen
Nongoma is a town in KwaZulu-Natal, South Africa, historically significant as a center of Zulu royalty and traditional leadership.
-
C.
Polokwane
Polokwane is a city in South Africa’s Limpopo province that served as one of the venues for matches during the 2010 FIFA World Cup.
-
D.
Mthatha
Mthatha is a town in South Africa known as a regional economic and administrative center in the Eastern Cape and as the birthplace of Nelson Mandela.
-
E.
Tzaneen
Tzaneen is a large agricultural town in South Africa’s Limpopo province, known for its subtropical climate and extensive fruit farming.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b46dac8190bde88205c85f596a |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0544f7be481908f247889363c0f32 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:17 p.m.