Triple
T13265656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nkangala District Municipality |
E315915
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Witbank |
E690178
|
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: Witbank | Statement: [Nkangala District Municipality, containsSettlement, Witbank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Witbank Context triple: [Nkangala District Municipality, containsSettlement, Witbank]
-
A.
Witbank
chosen
Witbank is a South African coal-mining city in Mpumalanga province, now officially known as Emalahleni.
-
B.
Rustenburg
Rustenburg is a city in South Africa’s North West Province known for its mining industry and as one of the venues for the 2010 FIFA World Cup.
-
C.
Randburg
Randburg is a residential and commercial suburb in the north of Johannesburg, South Africa, known for its shopping centers, business districts, and leafy neighborhoods.
-
D.
Bloemfontein
Bloemfontein is a major South African city known as the seat of the country’s highest courts and one of its three national capitals.
-
E.
Grahamstown
Grahamstown is a historic university town in South Africa, renowned for its colonial-era architecture and the annual National Arts Festival.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901e44bc8190966f87ae219d6bf4 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cf863fc81908723f7f6b3d45510 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 9:25 p.m.