Triple
T11425886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klerksdorp |
E270746
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | Potchefstroom |
E408963
|
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: Potchefstroom | Statement: [Klerksdorp, roadConnection, Potchefstroom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Potchefstroom Context triple: [Klerksdorp, roadConnection, Potchefstroom]
-
A.
Potchefstroom
chosen
Potchefstroom is a historic university town in South Africa known for its academic institutions, military base, and role in the North West province’s agriculture and industry.
-
B.
Pietersburg
Pietersburg is the former name of Polokwane, a major city and administrative center in South Africa’s Limpopo province.
-
C.
Kroonstad
Kroonstad is a town in the Free State province of South Africa, known as an agricultural and transport hub along the Vaal River.
-
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.
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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806be9c2c819084da13101cbb6c81 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef12a7ea2c81909ac2ce2bbe549ebb |
completed | April 27, 2026, 7:39 a.m. |
Created at: April 8, 2026, 9:35 p.m.