Triple
T38630382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prestvannet |
E937433
|
entity |
| Predicate | hasRecreationalUseInWinter |
—
|
GENERATED |
| Object | walking |
—
|
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: hasRecreationalUseInWinter Context triple: [Prestvannet, hasRecreationalUseInWinter, walking]
-
A.
hasWinterSports
Indicates that an entity offers, supports, or is associated with winter sports activities.
-
B.
hasWinterSportsSeason
Indicates that an entity participates in, is associated with, or has a defined period for winter sports activities or competitions.
-
C.
hasWinterActivitySeason
Indicates that an entity’s primary period for engaging in a particular activity occurs during the winter season.
-
D.
hasWinterSportsResort
Indicates that a location or entity possesses or hosts a resort specifically dedicated to winter sports activities.
-
E.
hasWinterSportsInfrastructure
Indicates that a place or facility possesses the necessary structures, equipment, and amenities to support winter sports activities.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.