Triple
T21665789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sekhukhune I |
E534711
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Sekhukhuneland |
—
|
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: Sekhukhuneland | Statement: [Sekhukhune I, placeOfBirth, Sekhukhuneland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sekhukhuneland Context triple: [Sekhukhune I, placeOfBirth, Sekhukhuneland]
-
A.
Sekhukhuneland
chosen
Sekhukhuneland is a historical region in northeastern South Africa that served as the heartland of the Pedi kingdom and culture.
-
B.
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.
-
C.
Ciskei
Ciskei was a nominally independent Bantustan in southeastern South Africa established under apartheid as a homeland for Xhosa-speaking people.
-
D.
Soshanguve
Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
-
E.
Kwaluseni
Kwaluseni is a town in Eswatini known primarily as the main campus site of the University of Eswatini.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0b26c8819092c13e59dcc3c25c |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.