Triple
T28058857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alta, Utah |
E709045
|
entity |
| Predicate | skiTerrainType |
P163436
|
FINISHED |
| Object | primarily advanced and expert 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: primarily advanced and expert terrain | Statement: [Alta, Utah, skiTerrainType, primarily advanced and expert terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skiTerrainType Context triple: [Alta, Utah, skiTerrainType, primarily advanced and expert terrain]
-
A.
skiAreaType
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
-
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.
typeOfSkiing
Indicates that one entity is a specific style, category, or kind of skiing in relation to another.
-
D.
skiJumpHillType
Indicates the specific classification or category of a ski jumping hill used in the ski jumping activity or event.
-
E.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
- F. None of above. chosen
Provenance (4 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63fde4030819089d26a7e7c9d713e |
completed | May 2, 2026, 6:18 p.m. |
| PD | Predicate disambiguation | batch_69f637120c008190b2b5adf46f022e48 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f637cad530819086cad3a5ec156013 |
completed | May 2, 2026, 5:43 p.m. |
Created at: April 27, 2026, 8:38 p.m.