Triple
T21360574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Mountain (Rusutsu Resort) |
E526764
|
entity |
| Predicate | typicalSnowType |
P45704
|
FINISHED |
| Object | powder snow |
—
|
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: powder snow | Statement: [East Mountain (Rusutsu Resort), typicalSnowType, powder snow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSnowType Context triple: [East Mountain (Rusutsu Resort), typicalSnowType, powder snow]
-
A.
hasSnowType
chosen
Indicates that something possesses or is characterized by a particular type or category of snow.
-
B.
typicalSnowDifficulty
Indicates the usual or characteristic level of difficulty associated with snow conditions for an activity, route, or location.
-
C.
snowQuality
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
-
D.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
E.
snowAccumulation
Indicates that snow has collected or built up on a surface or in a location over time.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa6afcc8190a1f5c599c11d2135 |
completed | April 22, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:08 p.m.