Triple
T7200860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutherford, California |
E168736
|
entity |
| Predicate | wineTourismAttraction |
P33214
|
FINISHED |
| Object | wine tasting rooms |
—
|
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: wine tasting rooms | Statement: [Rutherford, California, wineTourismAttraction, wine tasting rooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineTourismAttraction Context triple: [Rutherford, California, wineTourismAttraction, wine tasting rooms]
-
A.
wineTourism
Indicates a relationship where tourism activities are specifically centered around visiting wine-producing regions, wineries, and related wine experiences.
-
B.
wineCountry
Indicates that a location is recognized as a region where wine is produced, typically known for its vineyards and wineries.
-
C.
tourismFeature
chosen
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
D.
wineAppellation
Indicates that a wine originates from, and is classified under, a specific geographic appellation or designated wine-producing region.
-
E.
tourismFrom
Indicates that tourists or visitor activity originates from one place and is directed toward another location.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e92cc8ac8190a6448b79496a8249 |
completed | March 27, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69c6e757fed4819091b0a096e3befc3a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:52 p.m.