Triple
T34514987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lutsen Mountains ski area |
E886124
|
entity |
| Predicate | isMajorSkiAreaOf |
P128646
|
FINISHED |
| Object | Midwest |
—
|
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: Midwest | Statement: [Lutsen Mountains ski area, isMajorSkiAreaOf, Midwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorSkiAreaOf Context triple: [Lutsen Mountains ski area, isMajorSkiAreaOf, Midwest]
-
A.
isMajorSkiResortIn
chosen
Indicates that a location is recognized as a major ski resort situated within a specified geographic area or region.
-
B.
isOnlyMajorSkiAreaIn
Indicates that a ski area is the sole major ski resort located within a specified geographic region.
-
C.
isLargestSkiAreaIn
Indicates that a ski area has the greatest size (e.g., by area or extent of slopes) within the specified region or set.
-
D.
isSkiDestination
Indicates that a place serves as a location suitable or commonly used for skiing activities.
-
E.
skiAreaName
Indicates that an entity has a specific name used to identify a ski area.
- 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_69f349ccc290819089d8e82698e53cb6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 1, 2026, 2:01 a.m.