Triple
T18492747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedernal Valley |
E451856
|
entity |
| Predicate | effectOnWines |
P102176
|
FINISHED |
| Object | enhanced aromatic intensity |
—
|
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: enhanced aromatic intensity | Statement: [Pedernal Valley, effectOnWines, enhanced aromatic intensity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnWines Context triple: [Pedernal Valley, effectOnWines, enhanced aromatic intensity]
-
A.
wineStyleContribution
chosen
Indicates how much a given factor or component influences or shapes the overall style or character of a wine.
-
B.
effectOnDrinkers
Indicates the impact or consequences that something has on individuals who consume alcoholic beverages.
-
C.
wineComponent
Indicates that one entity is a constituent ingredient or part of a wine represented by the other entity.
-
D.
usesWineType
Indicates that one entity makes use of, incorporates, or is associated with a particular type or category of wine.
-
E.
sweetWineSuitability
Indicates the degree to which something is appropriate or recommended for pairing with or serving as a sweet wine.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532be5e988190aae93a66f6e5f857 |
completed | April 19, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.