Triple
T23365905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doornfontein |
E593318
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | New Doornfontein |
—
|
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: New Doornfontein | Statement: [Doornfontein, adjacentTo, New Doornfontein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Doornfontein Context triple: [Doornfontein, adjacentTo, New Doornfontein]
-
A.
Doornfontein
chosen
Doornfontein is an inner-city suburb of Johannesburg, South Africa, known for its mix of historic buildings, industrial areas, and educational institutions.
-
B.
Doornfontein, Johannesburg
Doornfontein, Johannesburg is an inner-city suburb east of Johannesburg’s central business district, known for its mix of industrial areas, residential neighborhoods, and educational institutions.
-
C.
Randfontein
Randfontein is a gold mining town in Gauteng, South Africa, situated west of Johannesburg on the West Rand.
-
D.
Doornhoek
Doornhoek is an industrial estate in the town of Veghel in the Netherlands, known for hosting various logistics, manufacturing, and commercial businesses.
-
E.
Calitzdorp
Calitzdorp is a small town in South Africa’s Western Cape renowned for its port-style wines and scenic setting along Route 62.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0ac7494819082e98ac5632eba28 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:31 p.m.