Triple
T22906655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eshowe |
E568464
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Zululand |
—
|
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: Zululand | Statement: [Eshowe, partOf, Zululand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zululand Context triple: [Eshowe, partOf, Zululand]
-
A.
Zululand region
chosen
The Zululand region is an area in northeastern KwaZulu-Natal, South Africa, known for its rich Zulu cultural heritage, diverse wildlife reserves, and varied landscapes ranging from coastal plains to inland hills.
-
B.
Transvaal
Transvaal was a former Boer republic and later British colony in what is now northeastern South Africa, central to the conflicts and politics of the late 19th and early 20th centuries.
-
C.
Thembuland
Thembuland is a historical region in South Africa that served as the traditional homeland of the Thembu people, an Nguni-speaking group to which figures like Nelson Mandela belong.
-
D.
Kwaluseni
Kwaluseni is a town in Eswatini known primarily as the main campus site of the University of Eswatini.
-
E.
Central South Africa
Central South Africa is the inland heartland of the country, encompassing key urban and agricultural areas such as much of the Free State and surrounding regions.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1801a48948190b5f51f1d02351fc7 |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.