Triple
T759417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johannesburg |
E16031
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Sandton |
E59814
|
NE FINISHED |
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: Sandton | Statement: [Johannesburg, hasDistrict, Sandton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandton Context triple: [Johannesburg, hasDistrict, Sandton]
-
A.
Roodepoort
Roodepoort is a suburban city on the western side of Johannesburg in South Africa, known for its residential areas, shopping centers, and proximity to the Witwatersrand hills.
-
B.
Ekurhuleni
Ekurhuleni is a large metropolitan municipality in South Africa’s Gauteng province, known for its extensive industrial base and major transport hubs including OR Tambo International Airport.
-
C.
Midrand
Midrand is a rapidly growing commercial and residential area in South Africa strategically located between Johannesburg and Pretoria in the province of Gauteng.
-
D.
Randburg
chosen
Randburg is a residential and commercial suburb in the north of Johannesburg, South Africa, known for its shopping centers, business districts, and leafy neighborhoods.
-
E.
Durban
Durban is a major coastal city in South Africa known for its busy port, subtropical climate, and significant Indian community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a67f9778819098d3c144dd26b976 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a9338feedc8190bc5f489428babd82 |
completed | March 5, 2026, 7:41 a.m. |
Created at: March 1, 2026, 7:37 p.m.