Triple
T6419378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braamfontein |
E127905
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Doornfontein
Doornfontein is an inner-city suburb of Johannesburg, South Africa, known for its mix of historic buildings, industrial areas, and educational institutions.
|
E593318
|
NE FINISHED |
How this triple was built (4 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: Doornfontein | Statement: [Braamfontein, locatedNear, Doornfontein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doornfontein Context triple: [Braamfontein, locatedNear, Doornfontein]
-
A.
Randfontein
Randfontein is a gold mining town in Gauteng, South Africa, situated west of Johannesburg on the West Rand.
-
B.
Groblersdal
Groblersdal is a town in South Africa’s Limpopo province known as an important agricultural center, particularly for irrigation-based farming.
-
C.
Enkeldoorn
Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
-
D.
Andriesvale
Andriesvale is a place named in honor of the 19th-century Boer leader and Voortrekker general Andries Pretorius.
-
E.
Hartenbos
Hartenbos is a popular coastal holiday town and beach resort in South Africa’s Western Cape, near Mossel Bay, known for its family-friendly atmosphere and seaside tourism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Doornfontein Triple: [Braamfontein, locatedNear, Doornfontein]
Generated description
Doornfontein is an inner-city suburb of Johannesburg, South Africa, known for its mix of historic buildings, industrial areas, and educational institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doornfontein Target entity description: Doornfontein is an inner-city suburb of Johannesburg, South Africa, known for its mix of historic buildings, industrial areas, and educational institutions.
-
A.
Randfontein
Randfontein is a gold mining town in Gauteng, South Africa, situated west of Johannesburg on the West Rand.
-
B.
Groblersdal
Groblersdal is a town in South Africa’s Limpopo province known as an important agricultural center, particularly for irrigation-based farming.
-
C.
Enkeldoorn
Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
-
D.
Andriesvale
Andriesvale is a place named in honor of the 19th-century Boer leader and Voortrekker general Andries Pretorius.
-
E.
Hartenbos
Hartenbos is a popular coastal holiday town and beach resort in South Africa’s Western Cape, near Mossel Bay, known for its family-friendly atmosphere and seaside tourism.
- F. None of above. chosen
Provenance (5 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0690194dc8190b3382bd5f92876b5 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640d2ab64819089e91525da60392b |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c644ec2ca48190997a118f8751cba5 |
completed | March 27, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6455961b881908f5804d9c0e86573 |
completed | March 27, 2026, 8:52 a.m. |
Created at: March 22, 2026, 4:43 p.m.