Triple
T32292495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algrange |
E824999
|
entity |
| Predicate | distanceToLuxembourgBorderKilometers |
—
|
GENERATED |
| Object | approximately 10 |
—
|
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: distanceToLuxembourgBorderKilometers Context triple: [Algrange, distanceToLuxembourgBorderKilometers, approximately 10]
-
A.
distanceToLuxembourgCityKilometers
Indicates the physical distance, measured in kilometers, between the given entity and Luxembourg City.
-
B.
distanceToAustrianBorder
Indicates the measured spatial distance between a given entity’s location and the border of Austria.
-
C.
distanceToBulgarianBorder_km
Indicates the distance, measured in kilometers, from a given location to the nearest point on the Bulgarian national border.
-
D.
distanceToBasel_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Basel.
-
E.
distanceFromNiceByRoad_km
Indicates the length of the road route, in kilometers, from the city of Nice to the given location.
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:44 a.m.