Triple
T11797973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cibo Wine Bar |
E280548
|
entity |
| Predicate | hasWineProgram |
P36311
|
FINISHED |
| Object | yes |
—
|
LITERAL GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWineProgram Context triple: [Cibo Wine Bar, hasWineProgram, yes]
-
A.
hasWinery
Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
-
B.
hasWineCategory
Indicates that one entity is classified under, or associated with, a particular category or type of wine.
-
C.
hasWineList
chosen
Indicates that an establishment or entity provides or maintains a wine list as part of its offerings.
-
D.
hasWineRoute
Indicates that there is a designated wine-related route or trail connecting the subject to the object.
-
E.
usesWineType
Indicates that one entity makes use of, incorporates, or is associated with a particular type or category of wine.
- F. None of above.
Provenance (2 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.