Triple
T13653924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of the Western Cape |
E326808
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Bellville |
E326809
|
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: Bellville | Statement: [University of the Western Cape, city, Bellville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellville Context triple: [University of the Western Cape, city, Bellville]
-
A.
Bellville
chosen
Bellville is a suburb of Cape Town in South Africa, known as an educational and residential hub that includes the campus of the University of the Western Cape.
-
B.
Atteridgeville
Atteridgeville is a township in the western part of Pretoria, South Africa, known for its rich political history and vibrant local culture.
-
C.
Erindale
Erindale is a residential neighbourhood in the city of Mississauga, Ontario, known for its parks, schools, and proximity to the Credit River.
-
D.
Caledon
Caledon is a small town in South Africa’s Western Cape province, known for its hot springs, surrounding farmlands, and proximity to the Overberg region.
-
E.
Caledon
Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60ace048190a4b92310ba272bd1 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78affa3c481909dba71e2ce9f44c1 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:52 p.m.