Triple
T32570271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Saal |
E832494
|
entity |
| Predicate | distanceFromKlagenfurt |
—
|
GENERATED |
| Object | approximately 10 km |
—
|
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: distanceFromKlagenfurt Context triple: [Maria Saal, distanceFromKlagenfurt, approximately 10 km]
-
A.
distanceFromSalzburg
Indicates the spatial distance between a given entity and the city of Salzburg.
-
B.
distanceFromFeldkirch
Indicates the spatial distance measured from the reference location Feldkirch to another place or entity.
-
C.
distanceToInnsbruck
Indicates the spatial distance between a given entity’s location and the city of Innsbruck.
-
D.
distanceToKremsAnDerDonau_km
Indicates the physical distance, measured in kilometers, between an entity and the location Krems an der Donau.
-
E.
distanceFromVienna
Indicates the spatial distance between a given entity’s location and the city of Vienna.
- F. None of above. chosen
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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 1:03 a.m.