Triple
T34032545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Malescot St. Exupéry |
E872696
|
entity |
| Predicate | typicalBlendSecondaryGrape |
—
|
GENERATED |
| Object | Merlot |
—
|
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: typicalBlendSecondaryGrape Context triple: [Château Malescot St. Exupéry, typicalBlendSecondaryGrape, Merlot]
-
A.
secondaryGrape
chosen
Indicates that one grape variety serves as a secondary or supporting component in a wine blend relative to the primary grape.
-
B.
typicalBlendMerlotPercentage
Indicates the usual proportion of Merlot used in a blend relative to the other grape varieties.
-
C.
typicalBlendCabernetFrancPercentage
Indicates the percentage of Cabernet Franc that is typically included in a particular wine blend.
-
D.
alsoUsesGrapeVariety
Indicates that one entity, in addition to another, makes use of the same grape variety in its composition or production.
-
E.
primaryGrapeVariety
Indicates that one entity is the main or predominant grape variety used in producing the other entity (typically a wine or wine-based 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_69f349a2527c81909a7cd4bda94d70ad |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:51 a.m.