Triple
T5503515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rkatsiteli |
E144381
|
entity |
| Predicate | notableWineUse |
P52137
|
FINISHED |
| Object | single-varietal wines |
—
|
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: single-varietal wines | Statement: [Rkatsiteli, notableWineUse, single-varietal wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableWineUse Context triple: [Rkatsiteli, notableWineUse, single-varietal wines]
-
A.
primaryGrapeUse
Indicates that a grape variety is primarily used for a particular purpose, such as winemaking, table consumption, or raisin production.
-
B.
notableWinemaker
Indicates that the subject is recognized as a distinguished or prominent winemaker.
-
C.
usesWineType
chosen
Indicates that one entity makes use of, incorporates, or is associated with a particular type or category of wine.
-
D.
oenologicalSignificance
Indicates the relationship in which something holds importance, relevance, or notable impact within the context of wine or winemaking.
-
E.
producesWine
Indicates that one entity creates or manufactures wine as a product.
- F. None of above.
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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f0bbea48190bb6fecaee9c0b1d0 |
completed | March 22, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:32 p.m.