Triple
T37067686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Genk |
E917491
|
entity |
| Predicate | distanceToSeaPorts |
—
|
GENERATED |
| Object | relatively close to major seaports in Belgium and the Netherlands |
—
|
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: distanceToSeaPorts Context triple: [Port of Genk, distanceToSeaPorts, relatively close to major seaports in Belgium and the Netherlands]
-
A.
railDistanceToPort_km
Indicates the distance in kilometers between an entity and the nearest port when traveling by rail.
-
B.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
C.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
D.
distanceToPacificOcean
Indicates the physical distance between a given location or entity and the Pacific Ocean.
-
E.
nearbyCityOrPort
chosen
Indicates that one location is geographically close to a city or port, typically within a short travel distance.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.