Triple
T18017439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scala (via Snowpark) |
E431030
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Snowpark language binding |
C24725
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Snowpark language binding Context triple: [Scala (via Snowpark), instanceOf, Snowpark language binding]
-
A.
Snowpark API
Snowpark API is a developer framework for Snowflake that lets you write data pipelines, transformations, and applications in familiar languages (like Python, Java, and Scala) while executing them directly on Snowflake’s compute engine.
-
B.
language binding
chosen
A language binding is a software layer that allows code written in one programming language to use libraries or APIs implemented in another language as if they were native.
-
C.
extension language platform
An extension language platform is a system that embeds or hosts a scripting or domain-specific language to allow users to customize, automate, and extend the functionality of an application or environment.
-
D.
skier services hub
A skier services hub is a centralized facility that provides skiers with essential amenities, information, ticketing, rentals, and support to enhance their on-mountain experience.
-
E.
ski and snowboard pass network
A ski and snowboard pass network is a system that provides riders access to multiple ski resorts and mountains through a unified pass, often integrating lift access, discounts, and shared services across participating locations.
- F. None of above.
Provenance (1 batch)
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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:24 a.m.