Triple
T418210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauteng |
E8041
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Soweto |
E31807
|
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: Soweto | Statement: [Gauteng, containsCity, Soweto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soweto Context triple: [Gauteng, containsCity, Soweto]
-
A.
Soweto
chosen
Soweto is a historically significant township in Johannesburg, South Africa, known for its central role in the struggle against apartheid and its rich urban culture.
-
B.
Johannesburg, South Africa
Johannesburg, South Africa is the country’s largest city and economic hub, known for its role in the gold mining industry and as a major urban center in Gauteng province.
-
C.
Pretoria, South Africa
Pretoria, South Africa is one of the country’s three capital cities, serving as the administrative capital and a major center for government, education, and culture.
-
D.
Ekurhuleni
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.
-
E.
Bulawayo
Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
- 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_69a44f522acc81909d16527bd08e458d |
completed | March 1, 2026, 2:38 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.