Triple
T35921216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurt-Hahn Airport |
E1038889
|
entity |
| Predicate | distanceFromLuxembourg |
—
|
GENERATED |
| Object | approximately 120 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: distanceFromLuxembourg Context triple: [Frankfurt-Hahn Airport, distanceFromLuxembourg, approximately 120 km]
-
A.
distanceToLuxembourgCityKilometers
chosen
Indicates the physical distance, measured in kilometers, between the given entity and Luxembourg City.
-
B.
distanceToLuxembourgBorderKilometers
Indicates the distance, measured in kilometers, from a given location to the nearest point on the border of Luxembourg.
-
C.
distanceFromStrasbourg
Indicates the spatial distance between a given place or entity and the city of Strasbourg.
-
D.
distanceFromNiceByRoad_km
Indicates the length of the road route, in kilometers, from the city of Nice to the given location.
-
E.
distanceToEschSurAlzette
Indicates the measured distance between a given entity and the location Esch-sur-Alzette.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.