Triple
T2808883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaal Triangle |
E54119
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Sasolburg |
E135668
|
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: Sasolburg | Statement: [Vaal Triangle, hasCity, Sasolburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sasolburg Context triple: [Vaal Triangle, hasCity, Sasolburg]
-
A.
Sasolburg
chosen
Sasolburg is an industrial town in South Africa’s Free State province, known primarily for its large petrochemical complex and proximity to the Vaal River.
-
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.
Swartberg Complex
The Swartberg Complex is a mountainous conservation area in South Africa renowned for its dramatic sandstone ranges, rich biodiversity, and exceptional fynbos vegetation within the Cape Floristic Region.
-
D.
Bloemfontein waterworks
Bloemfontein waterworks was a strategically vital water supply installation for the city of Bloemfontein during the Second Boer War.
-
E.
Oudtshoorn
Oudtshoorn is a South African town famed as the "ostrich capital of the world," known for its ostrich farms, Cango Caves, and semi-arid Karoo landscape.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde3165b48190a43be5e6ad23deca |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce97c3008190a966441d719d1d1c |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:59 p.m.