Triple
T31714063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fellhorn/Kanzelwand ski area |
E809405
|
entity |
| Predicate | hasFreerideAreas |
P155362
|
FINISHED |
| Object | limited |
—
|
LITERAL FINISHED |
How this triple was built (2 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: limited | Statement: [Fellhorn/Kanzelwand ski area, hasFreerideAreas, limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFreerideAreas Context triple: [Fellhorn/Kanzelwand ski area, hasFreerideAreas, limited]
-
A.
hasSkiAreaAccess
Indicates that an entity provides direct access to, or is directly connected with, a ski area or ski facilities.
-
B.
hasSkiAreaLevel
Indicates that an entity is associated with a ski area of a particular level or difficulty classification.
-
C.
hasSkiPassArea
Indicates that an entity’s ski pass grants access to a specific ski area or region.
-
D.
hasSkiAreaSide
Indicates that something is located on or associated with a particular side or slope of a ski area.
-
E.
hasOffPisteTerrain
chosen
Indicates that a location or ski area includes terrain that is off the groomed or marked pistes, typically ungroomed or backcountry skiable areas.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 30, 2026, 11:16 p.m.