Triple
T12744286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Gauteng |
E304564
|
entity |
| Predicate | directionWithinGauteng |
P106686
|
FINISHED |
| Object | south |
—
|
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: south | Statement: [Southern Gauteng, directionWithinGauteng, south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionWithinGauteng Context triple: [Southern Gauteng, directionWithinGauteng, south]
-
A.
directionFromCapeTown
Indicates the compass direction in which one entity is located relative to Cape Town.
-
B.
distanceFromPretoria
Indicates the spatial distance between a given entity or location and the city of Pretoria.
-
C.
directionWithinCity
Indicates a directional relationship specifying where something is located or oriented within the boundaries of a particular city.
-
D.
distanceFromCapeTown
Indicates the measured distance between a given location and Cape Town.
-
E.
distanceToDurban_km
Indicates the physical distance, measured in kilometers, between a given location and the city of Durban.
- 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.