Triple
T33483502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rasthof Frankenwald |
E857543
|
entity |
| Predicate | hasRestAreaFunction |
—
|
GENERATED |
| Object | yes |
—
|
UNRECOGNIZED 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: hasRestAreaFunction Context triple: [Rasthof Frankenwald, hasRestAreaFunction, yes]
-
A.
hasRestAreas
chosen
Indicates that a route, location, or facility includes one or more designated rest areas available for use.
-
B.
hasStopArea
Indicates that an entity is associated with or contains a specific stop area, such as a designated location where vehicles stop.
-
C.
hasRoadsideFacility
Indicates that a location or route segment is associated with a facility or service situated along its roadside.
-
D.
hasRegionalAmenity
Indicates that a region provides or contains a specific amenity or facility within its area.
-
E.
hasRestaurantArea
Indicates that a place or establishment includes a designated area used as a restaurant or for dining services.
- F. None of above.
Provenance (1 batch)
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_69f3497547608190a1a0f2365fb713ee |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:38 a.m.