Triple
T11797974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cibo Wine Bar |
E280548
|
entity |
| Predicate | typeOfEstablishment |
P81236
|
FINISHED |
| Object | hospitality business |
—
|
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: typeOfEstablishment Context triple: [Cibo Wine Bar, typeOfEstablishment, hospitality business]
-
A.
isCommercialFacility
Indicates that a facility is used primarily for commercial or business-related activities or services.
-
B.
hasRestaurantType
chosen
Indicates that an entity is associated with or classified as a particular type or category of restaurant.
-
C.
hasEstablishment
Indicates that one entity possesses, operates, or is associated with a particular establishment (such as a business, facility, or institution).
-
D.
locationOfEstablishment
Indicates the place or area where an establishment is situated or operates.
-
E.
amenity
Indicates that one entity provides a useful facility, service, or feature that enhances the convenience or comfort of another entity.
- 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.