Triple
T13611244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivory Park |
E325191
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Tembisa |
E634174
|
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: Tembisa | Statement: [Ivory Park, locatedNear, Tembisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tembisa Context triple: [Ivory Park, locatedNear, Tembisa]
-
A.
Tembisa
chosen
Tembisa is a large township in Gauteng, South Africa, situated on the East Rand and known as a densely populated residential area within the City of Ekurhuleni.
-
B.
Nelspruit
Nelspruit is a city in northeastern South Africa, now known as Mbombela, noted as a regional hub near Kruger National Park and for hosting matches during the 2010 FIFA World Cup.
-
C.
Thaba Nchu
Thaba Nchu is a town in South Africa’s Free State province, historically a Tswana settlement and now a satellite town of Bloemfontein.
-
D.
Zwelitsha
Zwelitsha is a township in the Eastern Cape province of South Africa that forms part of the Buffalo City metropolitan area near King William’s Town.
-
E.
Emakhazeni
Emakhazeni is a local municipality in South Africa’s Mpumalanga province, known for its highveld landscapes and small towns centered around agriculture and tourism.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d41d1108190be5193b246845f07 |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:50 p.m.