Triple
T18311338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region G |
E438631
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Vlakfontein
Vlakfontein is a locality within Johannesburg’s Region G, situated in the southern part of the city in Gauteng, South Africa.
|
E1317622
|
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: Vlakfontein | Statement: [Region G, contains, Vlakfontein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vlakfontein Context triple: [Region G, contains, Vlakfontein]
-
A.
Strandfontein
Strandfontein is a coastal residential suburb of Cape Town, South Africa, known for its beaches and proximity to Mitchells Plain.
-
B.
Yzerfontein
Yzerfontein is a small coastal town on South Africa’s West Coast known for its long beaches, fishing, and proximity to nature reserves and marine wildlife.
-
C.
Klipspruit
Klipspruit is a township area within Soweto, Johannesburg, known as one of the earliest black residential settlements established under apartheid-era urban planning.
-
D.
Sandspruit
Sandspruit is a stream in Johannesburg that forms part of the city’s broader drainage and river system.
-
E.
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.
- 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: Vlakfontein Triple: [Region G, contains, Vlakfontein]
Generated description
Vlakfontein is a locality within Johannesburg’s Region G, situated in the southern part of the city in Gauteng, South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vlakfontein Target entity description: Vlakfontein is a locality within Johannesburg’s Region G, situated in the southern part of the city in Gauteng, South Africa.
-
A.
Strandfontein
Strandfontein is a coastal residential suburb of Cape Town, South Africa, known for its beaches and proximity to Mitchells Plain.
-
B.
Yzerfontein
Yzerfontein is a small coastal town on South Africa’s West Coast known for its long beaches, fishing, and proximity to nature reserves and marine wildlife.
-
C.
Klipspruit
Klipspruit is a township area within Soweto, Johannesburg, known as one of the earliest black residential settlements established under apartheid-era urban planning.
-
D.
Sandspruit
Sandspruit is a stream in Johannesburg that forms part of the city’s broader drainage and river system.
-
E.
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.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb6640e88190bed9e233fc14ecec |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bcc98f6081908d85c0f08cea8f5d |
completed | May 12, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c062f9088190aef638dfc212d283 |
completed | May 13, 2026, 12:05 a.m. |
Created at: April 10, 2026, 10:36 a.m.