Triple
T29782737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paso Robles Estrella District AVA |
E756166
|
entity |
| Predicate | typicalGrapeUse |
P203942
|
FINISHED |
| Object | still 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: still wines | Statement: [Paso Robles Estrella District AVA, typicalGrapeUse, still wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGrapeUse Context triple: [Paso Robles Estrella District AVA, typicalGrapeUse, still wines]
-
A.
primaryGrapeUse
Indicates that a grape variety is primarily used for a particular purpose, such as winemaking, table consumption, or raisin production.
-
B.
alsoUsesGrapeVariety
Indicates that one entity, in addition to another, makes use of the same grape variety in its composition or production.
-
C.
usedForViticulture
Indicates that something is employed or utilized in the practice, processes, or support of viticulture (grape growing for wine production).
-
D.
knownForGrape
Indicates that an entity (such as a region, producer, or product) is notably associated with or recognized for a particular grape variety.
-
E.
grapeVarietyType
Indicates the specific type or classification of a grape variety used or referred to in a given context.
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a02fc3890a881908b69b0f2d7cc1ce1 |
completed | May 12, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_6a02fb98438c8190938896c00216b9ec |
completed | May 12, 2026, 10:06 a.m. |
| PDg | Predicate description generation | batch_6a02fc379d1c8190aeb144f093169cfa |
completed | May 12, 2026, 10:08 a.m. |
Created at: April 29, 2026, 5:06 p.m.