Triple
T23038250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mpande kaSenzangakhona |
E573665
|
entity |
| Predicate | wife |
P13
|
FINISHED |
| Object | Ngqumbazi |
—
|
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: Ngqumbazi | Statement: [Mpande kaSenzangakhona, wife, Ngqumbazi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngqumbazi Context triple: [Mpande kaSenzangakhona, wife, Ngqumbazi]
-
A.
Ngqumbazi
chosen
Ngqumbazi was a Zulu royal woman best known as the mother of King Cetshwayo kaMpande of the Zulu Kingdom.
-
B.
Tlokwa
Tlokwa is a Sotho–Tswana-speaking ethnic group in Southern Africa, historically organized into chiefdoms and known for its distinct cultural and linguistic identity within the broader Sotho–Tswana peoples.
-
C.
Zvongombe
Zvongombe was the principal urban and political center of the Mutapa Kingdom in what is now northern Zimbabwe.
-
D.
Ngqura
Ngqura is a deep-water commercial port on South Africa’s Eastern Cape coast, developed as a modern container and bulk cargo hub.
-
E.
Mzembi
Mzembi is the surname of Walter Mzembi, a Zimbabwean politician who served as Minister of Tourism and Hospitality Industry.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185111f0881908991fcd6cdc7db9f |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:53 p.m.