Triple
T17657704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gol |
E440167
|
entity |
| Predicate | hasWinterSportResort |
P1981
|
FINISHED |
| Object | Golsfjellet |
—
|
NE NERFINISHED |
How this triple was built (4 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Golsfjellet | Statement: [Gol, hasWinterSportResort, Golsfjellet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golsfjellet Context triple: [Gol, hasWinterSportResort, Golsfjellet]
-
A.
Narvikfjellet
Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
-
B.
Høgefjellet
Høgefjellet is a mountain located on the island of Vågsøy in Vestland county, western Norway.
-
C.
Tjørhomfjellet
Tjørhomfjellet is a ski resort located in Sirdal municipality in southern Norway, known for its alpine slopes and winter sports facilities.
-
D.
Askøyfjellet
Askøyfjellet is a prominent hill and popular hiking destination that forms the highest natural point on the island municipality of Askøy in western Norway.
-
E.
Norefjell
Norefjell is a prominent Norwegian mountain range and ski resort area known for its alpine terrain and winter sports facilities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Golsfjellet Target entity description: Golsfjellet is a popular mountain plateau and ski resort area in Norway known for its extensive cross-country trails and family-friendly winter activities.
-
A.
Narvikfjellet
Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
-
B.
Høgefjellet
Høgefjellet is a mountain located on the island of Vågsøy in Vestland county, western Norway.
-
C.
Tjørhomfjellet
Tjørhomfjellet is a ski resort located in Sirdal municipality in southern Norway, known for its alpine slopes and winter sports facilities.
-
D.
Askøyfjellet
Askøyfjellet is a prominent hill and popular hiking destination that forms the highest natural point on the island municipality of Askøy in western Norway.
-
E.
Norefjell
Norefjell is a prominent Norwegian mountain range and ski resort area known for its alpine terrain and winter sports facilities.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWinterSportResort Context triple: [Gol, hasWinterSportResort, Golsfjellet]
-
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.
hasSkiResortType
Indicates that an entity is associated with, or classified by, a specific type or category of ski resort.
-
D.
hasPopularWinterSports
Indicates that a place or context is associated with winter sports that are widely practiced, enjoyed, or well-attended.
-
E.
hasSkiResortNearby
chosen
Indicates that one location is situated close enough to another location that it can be considered to have a ski resort in its vicinity.
- F. None of above.
Provenance (3 batches)
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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea3b4cc81908eec7032cf221d49 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:28 a.m.