Triple
T3231151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turoa Ski Area |
E67741
|
entity |
| Predicate | hasSnowType |
P45704
|
FINISHED |
| Object | natural 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: natural snow | Statement: [Turoa Ski Area, hasSnowType, natural snow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSnowType Context triple: [Turoa Ski Area, hasSnowType, natural snow]
-
A.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
B.
hasSnowAtHighElevations
Indicates that snow is present in areas located at higher elevations within a given region or context.
-
C.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
-
D.
hasSnowOccasionally
Indicates that the subject experiences snowfall at irregular or infrequent intervals rather than regularly or never.
-
E.
glacierType
Indicates the specific classification or category of a glacier based on its form, dynamics, or setting.
- F. None of above. chosen
Provenance (4 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb99e088190a8eeca2ca53707e7 |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9d5748190a405c89ec8f30264 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:08 p.m.