Triple
T34544434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpental |
E886884
|
entity |
| Predicate | hasSkiableTerrainType |
P163436
|
FINISHED |
| Object | inbounds terrain |
—
|
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: inbounds terrain | Statement: [Alpental, hasSkiableTerrainType, inbounds terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkiableTerrainType Context triple: [Alpental, hasSkiableTerrainType, inbounds terrain]
-
A.
hasSkiableArea
Indicates that an entity possesses an area of terrain that can be used for skiing.
-
B.
hasOffPisteTerrain
Indicates that a location or ski area includes terrain that is off the groomed or marked pistes, typically ungroomed or backcountry skiable areas.
-
C.
skiTerrainType
chosen
Indicates the type of terrain or surface on which the skiing activity takes place.
-
D.
hasSkiRunsFor
Indicates that something provides or includes ski runs that are suitable or intended for a particular user group or purpose.
-
E.
hasSkiAreaLevel
Indicates that an entity is associated with a ski area of a particular level or difficulty classification.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.