Triple
T33882656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bretten station |
E868533
|
entity |
| Predicate | distanceFromKarlsruhe |
—
|
GENERATED |
| Object | approximately 30 km northeast |
—
|
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: distanceFromKarlsruhe Context triple: [Bretten station, distanceFromKarlsruhe, approximately 30 km northeast]
-
A.
distanceToKarlsruhe
chosen
Indicates the spatial distance between a given entity and the location of Karlsruhe.
-
B.
distanceToStuttgart
Indicates the measured distance between a given entity’s location and the city of Stuttgart.
-
C.
distanceToKassel
Indicates the spatial distance between a given entity and the location Kassel.
-
D.
distanceFromDarmstadtHbf
Indicates the spatial distance between a given location and Darmstadt Hauptbahnhof (Darmstadt central railway station).
-
E.
distanceToMunich
Indicates the spatial distance between a given entity’s location and the city of Munich.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:48 a.m.