Triple
T35695823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Båtsfjord Airport |
E1031435
|
entity |
| Predicate | hasColdClimateOperations |
—
|
GENERATED |
| Object | true |
—
|
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: hasColdClimateOperations Context triple: [Båtsfjord Airport, hasColdClimateOperations, true]
-
A.
hasColdPhase
Indicates that an entity undergoes or includes a period or stage characterized by low temperature or cold conditions.
-
B.
hasHigherColdSensitivityThan
Indicates that one entity is more sensitive or reactive to cold conditions than another entity.
-
C.
isColderThan
Indicates that one entity has a lower temperature than another entity.
-
D.
designedForClimate
chosen
Indicates that something has been intentionally created or adapted to function optimally under specific climate or environmental conditions.
-
E.
hasSnowClimate
Indicates that a location or region experiences a climate characterized by regular or significant snowfall.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.