Triple
T28812734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogue River Valley |
E727557
|
entity |
| Predicate | wineGrapesGrown |
P33546
|
FINISHED |
| Object | Pinot noir |
—
|
NE NERFINISHED |
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: Pinot noir | Statement: [Rogue River Valley, wineGrapesGrown, Pinot noir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineGrapesGrown Context triple: [Rogue River Valley, wineGrapesGrown, Pinot noir]
-
A.
wineGrapesCultivated
chosen
Indicates that certain grape varieties are grown or cultivated specifically for producing wine.
-
B.
wineLawRegionType
Indicates the type or category of legal designation that governs wine production in a particular region.
-
C.
alsoProducesWineIn
Indicates that the subject, in addition to other products or activities, produces wine in the specified location or context.
-
D.
wineStyleOrigin
Indicates that a particular wine style originated in or is traditionally associated with a specific geographic region or place.
-
E.
wineAppellation
Indicates that a wine originates from, and is classified under, a specific geographic appellation or designated wine-producing region.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658f05db88190b613173eece383d4 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:31 a.m.