Triple
T35364409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chorin railway station |
E1021588
|
entity |
| Predicate | distanceToNearbyPlace |
—
|
GENERATED |
| Object | approximately 2 km to Chorin Abbey |
—
|
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: distanceToNearbyPlace Context triple: [Chorin railway station, distanceToNearbyPlace, approximately 2 km to Chorin Abbey]
-
A.
proximityToLandmark
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
-
B.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
C.
distancesFrom
chosen
Indicates the measured spatial separation between one entity and one or more other entities.
-
D.
nearbyLocation
Indicates that one location is situated close to another location in physical space.
-
E.
infrastructureNearby
Indicates that one entity is located close to another entity that serves as infrastructure (such as roads, utilities, or public facilities).
- 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:03 p.m.