Triple
T18134315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Sky Resort |
E434096
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Boyne Resorts |
—
|
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: Boyne Resorts | Statement: [Big Sky Resort, operator, Boyne Resorts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boyne Resorts Context triple: [Big Sky Resort, operator, Boyne Resorts]
-
A.
Boyne Resorts
chosen
Boyne Resorts is a major American owner and operator of ski and golf resorts across North America.
-
B.
Montage Mountain Resorts
Montage Mountain Resorts is a ski and water park destination in Scranton, Pennsylvania, offering year-round outdoor recreation and entertainment.
-
C.
Boyne Mountain Resort
Boyne Mountain Resort is a popular four-season ski and golf destination in northern Michigan known for its slopes, waterpark, and year-round outdoor recreation.
-
D.
Sugarbush Resort
Sugarbush Resort is a major New England ski and four-season mountain resort in Vermont’s Mad River Valley, known for its extensive terrain and classic New England village atmosphere.
-
E.
Wintergreen Resort
Wintergreen Resort is a four-season mountain resort in the Blue Ridge Mountains of Virginia, known for its skiing, golf, and outdoor recreation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de055c608190a090c2737904e5f9 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.