Triple
T6717549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabie |
E153309
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Hazyview |
E542348
|
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: Hazyview | Statement: [Sabie, locatedNear, Hazyview]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazyview Context triple: [Sabie, locatedNear, Hazyview]
-
A.
Hazyview
chosen
Hazyview is a small South African town in Mpumalanga known as a gateway to Kruger National Park and the scenic attractions of the surrounding Lowveld.
-
B.
Phalaborwa
Phalaborwa is a mining and tourism town in northeastern South Africa, known as a gateway to Kruger National Park and for its rich copper and phosphate deposits.
-
C.
Masandawana
Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
-
D.
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.
-
E.
Tzaneen
Tzaneen is a large agricultural town in South Africa’s Limpopo province, known for its subtropical climate and extensive fruit farming.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d12765a48190b485176dc2ffa0fa |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f8255ac81909e7732947d2a5f53 |
completed | March 28, 2026, 1:31 a.m. |
Created at: March 27, 2026, 2:07 p.m.