Triple
T22986921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lodge at Snowbird |
E571933
|
entity |
| Predicate | isSlopesideTo |
P83773
|
FINISHED |
| Object | Snowbird ski area |
—
|
NE NERFINISHED |
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: Snowbird ski area | Statement: [The Lodge at Snowbird, isSlopesideTo, Snowbird ski area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSlopesideTo Context triple: [The Lodge at Snowbird, isSlopesideTo, Snowbird ski area]
-
A.
isOnSlopeOf
chosen
Indicates that one entity is located on the inclined surface or side of another entity, typically a sloping terrain or structure.
-
B.
hasSettlementOnSlopes
Indicates that a settlement is located on or extends across the slopes of a landform such as a hill or mountain.
-
C.
hasSlopeRating
Indicates that something (typically a golf course or hole) is associated with a specific slope rating value that quantifies its relative difficulty for bogey golfers compared to scratch golfers.
-
D.
isOppositeSideOfValleyFrom
Indicates that two entities are located on facing sides of the same valley, with the valley lying between them.
-
E.
isOnHill
Indicates that one entity is located on or atop a hill relative to another reference frame or context.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829a96b8819082e0c6d7fb5d018f |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:49 p.m.