Triple
T23213992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N1 national road |
E580680
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Colesberg |
—
|
NE NERFINISHED |
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: Colesberg | Statement: [N1 national road, passesThrough, Colesberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colesberg Context triple: [N1 national road, passesThrough, Colesberg]
-
A.
Colesberg
chosen
Colesberg is a small historic town in South Africa’s Northern Cape, known as a key stopover on the N1 highway and a gateway to the semi-arid Karoo region.
-
B.
Cornberg
Cornberg is a small municipality in the German state of Hesse, known for its rural setting and historical monastery complex.
-
C.
Magersfontein
Magersfontein is a historic battlefield area in South Africa, best known as the site of a major Boer War engagement between British and Boer forces in 1899.
-
D.
Vryburg
Vryburg is a large agricultural and commercial town in South Africa’s North West Province, historically known as a key cattle-farming and transport hub.
-
E.
Groblersdal
Groblersdal is a town in South Africa’s Limpopo province known as an important agricultural center, particularly for irrigation-based farming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19163b9b88190a68fa6d08d37bdb7 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:07 p.m.