Triple
T36332319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamburg Airport station |
E894682
|
entity |
| Predicate | distanceToCityCentreByRail |
—
|
GENERATED |
| Object | approximately 25 minutes |
—
|
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: distanceToCityCentreByRail Context triple: [Hamburg Airport station, distanceToCityCentreByRail, approximately 25 minutes]
-
A.
distanceToByRail
chosen
Indicates the distance between two locations when traveling via railway routes.
-
B.
distanceToRailhead
Indicates the measured distance between a location or object and the nearest railhead (rail transport access point).
-
C.
distanceFromStation
Indicates the measured spatial separation between an entity and a specified station.
-
D.
roadDistanceToCityCentre_km
Indicates the distance in kilometers from a location to the city centre when traveling by road.
-
E.
hasNearbyRailwayStation
Indicates that a railway station is located within a short or convenient distance from the referenced entity.
- 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_69f76e4dcf088190a6c3216c209cab52 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.