Triple
T418215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauteng |
E8041
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Boksburg |
E57128
|
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: Boksburg | Statement: [Gauteng, containsCity, Boksburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boksburg Context triple: [Gauteng, containsCity, Boksburg]
-
A.
Krugersdorp
Krugersdorp is a historic mining town in South Africa known for its gold deposits and location on the West Rand of the Gauteng province.
-
B.
Greytown
Greytown is a small town in KwaZulu-Natal, South Africa, historically notable as the birthplace of Boer general and first South African Prime Minister Louis Botha.
-
C.
Ekurhuleni
chosen
Ekurhuleni is a large metropolitan municipality in South Africa’s Gauteng province, known for its extensive industrial base and major transport hubs including OR Tambo International Airport.
-
D.
Vanderbijlpark
Vanderbijlpark is an industrial city in South Africa known for its large steel production facilities and location on the Vaal River.
-
E.
Pietermaritzburg
Pietermaritzburg is a major city in South Africa’s KwaZulu-Natal province, historically significant as a colonial administrative center and now known for its Victorian architecture and role as a regional economic and educational hub.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee9059248190ba901680431914b5 |
completed | Feb. 28, 2026, 1:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a462f270448190af8765d4fc657fe4 |
completed | March 1, 2026, 4:01 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.