Triple
T37240238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinotage |
E923691
|
entity |
| Predicate | associatedWineIndustry |
—
|
GENERATED |
| Object | South African wine industry |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWineIndustry Context triple: [Pinotage, associatedWineIndustry, South African wine industry]
-
A.
associatedWithWineProduction
chosen
Indicates a relationship where an entity is involved in, connected to, or plays a role in the production of wine.
-
B.
wineEconomyRole
Indicates the role or function an entity has within the wine-related economy, such as production, distribution, trade, or regulation.
-
C.
alsoProducesWineIn
Indicates that the subject, in addition to other products or activities, produces wine in the specified location or context.
-
D.
notableWine
Indicates that a wine is recognized as significant, distinguished, or noteworthy in some context (such as quality, reputation, or historical importance).
-
E.
producesWine
Indicates that one entity creates or manufactures wine as a product.
- F. None of above.
Provenance (1 batch)
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_69f76ea9fee88190a589f661d95a7189 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:15 p.m.