Triple
T13543144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyalami |
E323440
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Diepsloot
Diepsloot is a densely populated township in the north of Johannesburg, South Africa, known for its informal settlements and rapid urban growth.
|
E1046420
|
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: Diepsloot | Statement: [Kyalami, locatedNear, Diepsloot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diepsloot Context triple: [Kyalami, locatedNear, Diepsloot]
-
A.
Bothasig
Bothasig is a residential suburb in the northern part of Cape Town, South Africa.
-
B.
Geseke
Geseke is a small town in western Germany located in the historical region of Westphalia.
-
C.
Calitzdorp
Calitzdorp is a small town in South Africa’s Western Cape renowned for its port-style wines and scenic setting along Route 62.
-
D.
Mitchells Plain
Mitchells Plain is a large, predominantly residential township in Cape Town, South Africa, known for its dense population, socio-economic challenges, and vibrant community life.
-
E.
Rustenburg
Rustenburg is a city in South Africa’s North West Province known for its mining industry and as one of the venues for the 2010 FIFA World Cup.
- 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: Diepsloot Triple: [Kyalami, locatedNear, Diepsloot]
Generated description
Diepsloot is a densely populated township in the north of Johannesburg, South Africa, known for its informal settlements and rapid urban growth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diepsloot Target entity description: Diepsloot is a densely populated township in the north of Johannesburg, South Africa, known for its informal settlements and rapid urban growth.
-
A.
Bothasig
Bothasig is a residential suburb in the northern part of Cape Town, South Africa.
-
B.
Geseke
Geseke is a small town in western Germany located in the historical region of Westphalia.
-
C.
Calitzdorp
Calitzdorp is a small town in South Africa’s Western Cape renowned for its port-style wines and scenic setting along Route 62.
-
D.
Mitchells Plain
Mitchells Plain is a large, predominantly residential township in Cape Town, South Africa, known for its dense population, socio-economic challenges, and vibrant community life.
-
E.
Rustenburg
Rustenburg is a city in South Africa’s North West Province known for its mining industry and as one of the venues for the 2010 FIFA World Cup.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafda36248190acabde65a88c5471 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da094288190aff108b006c3da1f |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75f2c645481909c3e5ecdd239965d |
completed | May 3, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f8e9b608190830ab942098a798c |
completed | May 3, 2026, 2:45 p.m. |
Created at: April 9, 2026, 9:45 p.m.