Triple
T12865696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N12 national route |
E307712
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Klerksdorp |
E270746
|
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: Klerksdorp | Statement: [N12 national route, passesThroughCity, Klerksdorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klerksdorp Context triple: [N12 national route, passesThroughCity, Klerksdorp]
-
A.
Klerksdorp
chosen
Klerksdorp is a historic mining and agricultural city in South Africa’s North West Province, known as one of the country’s oldest European settlements and a regional economic hub.
-
B.
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.
-
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.
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.
-
E.
Ermelo
Ermelo is a town in the province of Gelderland in the central Netherlands, known for its location near the Veluwe forests and heathlands.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708e0b788190b72a3057e271c227 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac73848481909303e833041ebc90 |
completed | May 6, 2026, 9:02 p.m. |
Created at: April 9, 2026, 5:37 p.m.