Triple
T31259276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steamboat Ski Resort |
E797072
|
entity |
| Predicate | snowTypeTrademark |
P45704
|
FINISHED |
| Object | Champagne Powder |
—
|
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: Champagne Powder | Statement: [Steamboat Ski Resort, snowTypeTrademark, Champagne Powder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowTypeTrademark Context triple: [Steamboat Ski Resort, snowTypeTrademark, Champagne Powder]
-
A.
hasSnowType
chosen
Indicates that something possesses or is characterized by a particular type or category of snow.
-
B.
snowAccess
Indicates that one entity has the ability, permission, or means to access or traverse snow-covered areas in relation to another entity or context.
-
C.
snowQuality
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
-
D.
snowLine
Indicates the altitude or boundary on a mountain or region above which snow persists year-round or seasonally.
-
E.
sharesTrademark
Indicates that two or more entities use or are associated with the same trademark.
- 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:12 p.m.