Triple
T30210940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mainalo Ski Center |
E768063
|
entity |
| Predicate | typicalSnowSeason |
P82171
|
FINISHED |
| Object | December to March |
—
|
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: December to March | Statement: [Mainalo Ski Center, typicalSnowSeason, December to March]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSnowSeason Context triple: [Mainalo Ski Center, typicalSnowSeason, December to March]
-
A.
typicalSnowDifficulty
Indicates the usual or characteristic level of difficulty associated with snow conditions for an activity, route, or location.
-
B.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
C.
popularSeasonForSkiing
Indicates that a given season is commonly favored or widely chosen as a time for skiing.
-
D.
hasSnowOccasionally
Indicates that the subject experiences snowfall at irregular or infrequent intervals rather than regularly or never.
-
E.
hasSeasonalSnowCover
chosen
Indicates that an entity is covered by snow during certain seasons or periods of the year, rather than permanently.
- 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7:32 p.m.