Triple
T12744288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Gauteng |
E304564
|
entity |
| Predicate | includesAreaRelativeToJohannesburg |
P106687
|
FINISHED |
| Object | areas south of Johannesburg |
—
|
LITERAL 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: areas south of Johannesburg | Statement: [Southern Gauteng, includesAreaRelativeToJohannesburg, areas south of Johannesburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesAreaRelativeToJohannesburg Context triple: [Southern Gauteng, includesAreaRelativeToJohannesburg, areas south of Johannesburg]
-
A.
containsGeographicalArea
Indicates that one geographical area spatially encompasses or includes another geographical area within its boundaries.
-
B.
timeZoneArea
Indicates the geographic area or region for which a particular time zone is defined or applicable.
-
C.
hasRelativePositionInCity
Indicates that one entity occupies a specific spatial or positional relationship within the boundaries or layout of a particular city.
-
D.
coreZoneArea
Indicates the area or spatial extent of a designated core zone within a larger region or system.
-
E.
venueArea
Indicates the physical size or spatial extent of a venue, typically measured in units such as square meters or square feet.
- F. None of above. chosen
Provenance (4 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.