Triple
T13217853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tshwane |
E314667
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | City of Pretoria |
E5262
|
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: City of Pretoria | Statement: [Tshwane, contains, City of Pretoria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Pretoria Context triple: [Tshwane, contains, City of Pretoria]
-
A.
Pretoria, South Africa
chosen
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.
-
B.
Tshwane
Tshwane is a major metropolitan area in South Africa that includes the country’s administrative capital, Pretoria, and serves as an important political and economic hub.
-
C.
Pietersburg
Pietersburg is the former name of Polokwane, a major city and administrative center in South Africa’s Limpopo province.
-
D.
Bloemfontein
Bloemfontein is a major South African city known as the seat of the country’s highest courts and one of its three national capitals.
-
E.
Pretoria CBD
Pretoria CBD is the historic and commercial downtown core of Pretoria, South Africa, known for its government buildings, offices, shops, and landmarks such as Church Square.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f5c0d88190b51cd65f6b7f8e6d |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 9, 2026, 9:18 p.m.