Triple
T12792934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hartbeespoort Dam |
E305813
|
entity |
| Predicate | nearTown |
P2064
|
FINISHED |
| Object | Hartbeespoort |
E1067128
|
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: Hartbeespoort | Statement: [Hartbeespoort Dam, nearTown, Hartbeespoort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartbeespoort Context triple: [Hartbeespoort Dam, nearTown, Hartbeespoort]
-
A.
Hartbeespoort
chosen
Hartbeespoort is a town and popular recreational area in North West Province, South Africa, known for its scenic setting around the Hartbeespoort Dam and views of the Magaliesberg mountains.
-
B.
Tulbagh
Tulbagh is a historic town in South Africa’s Western Cape, known for its Cape Dutch architecture and surrounding wine-producing valley.
-
C.
Harrismith
Harrismith is a town in the Free State province of South Africa, situated near the Drakensberg mountains and serving as an important transport and agricultural hub.
-
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.
Uitenhage
Uitenhage is a South African town in the Eastern Cape known historically for its automotive industry and as part of the greater Port Elizabeth (Gqeberha) urban area.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce5b2b988190892e14620fb87366 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 5:30 p.m.