Triple
T31714064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fellhorn/Kanzelwand ski area |
E809405
|
entity |
| Predicate | hasSnowParks |
P68555
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Fellhorn/Kanzelwand ski area, hasSnowParks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSnowParks Context triple: [Fellhorn/Kanzelwand ski area, hasSnowParks, yes]
-
A.
hasSnowPark
chosen
Indicates that a location or facility includes or is equipped with a designated snow park area.
-
B.
hasSnowTubingPark
Indicates that a location or facility includes or offers a snow tubing park as one of its features or attractions.
-
C.
hasSkiCenter
Indicates that a location or entity possesses or hosts a ski center as one of its facilities or features.
-
D.
hasSkiAreaAccess
Indicates that an entity provides direct access to, or is directly connected with, a ski area or ski facilities.
-
E.
hasWinterSportsResort
Indicates that a location or entity possesses or hosts a resort specifically dedicated to winter sports activities.
- 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_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:16 p.m.