Triple
T22986819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Cloud Bowl |
E571930
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Snowbird inbounds terrain |
—
|
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: Snowbird inbounds terrain | Statement: [Little Cloud Bowl, partOf, Snowbird inbounds terrain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowbird inbounds terrain Context triple: [Little Cloud Bowl, partOf, Snowbird inbounds terrain]
-
A.
Snowbird
Snowbird is a Canadian superheroine from Marvel Comics, a mystical demi-goddess and member of Alpha Flight who can transform into Arctic animals.
-
B.
Snowbird
chosen
Snowbird is a major ski and snowboard resort in Utah known for its steep terrain, deep powder, and long winter season.
-
C.
Snowbird
"Snowbird" is a popular 1969 country-pop song, best known as the breakthrough hit that launched Canadian singer Anne Murray to international fame.
-
D.
Snowpark
Snowpark is a developer framework from Snowflake that lets data engineers and data scientists write data pipelines and applications in languages like Python, Java, and Scala directly within the Snowflake data platform.
-
E.
Phoenix Snow Park
Phoenix Snow Park is a South Korean winter sports venue known for hosting freestyle skiing and snowboarding events, including competitions at the 2018 Pyeongchang Winter Olympics.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829a96b8819082e0c6d7fb5d018f |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.