Triple
T5591729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God’s Window |
E146893
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Graskop |
E170034
|
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: Graskop | Statement: [God’s Window, near, Graskop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graskop Context triple: [God’s Window, near, Graskop]
-
A.
Graskop
chosen
Graskop is a small tourist town in northeastern South Africa known as a gateway to the Panorama Route and nearby natural attractions like waterfalls and the Blyde River Canyon.
-
B.
Ermelo
Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
-
C.
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.
-
D.
Swellendam
Swellendam is a historic town in South Africa’s Western Cape, known for its Cape Dutch architecture and location near the Langeberg Mountains.
-
E.
Mitchells Plain
Mitchells Plain is a large, predominantly residential township in Cape Town, South Africa, known for its dense population, socio-economic challenges, and vibrant community life.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020a3365c8190bd223226c0a6969f |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d8c6f8881909ac2018d11f5aef8 |
completed | March 22, 2026, 11:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.