Triple
T17587586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowpark for JavaScript |
E428363
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Snowpark for Python |
—
|
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: Snowpark for Python | Statement: [Snowpark for JavaScript, relatedTo, Snowpark for Python]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowpark for Python Context triple: [Snowpark for JavaScript, relatedTo, Snowpark for Python]
-
A.
Snowpark for JavaScript
Snowpark for JavaScript is a Snowflake developer framework that lets you write and execute data pipelines and applications in JavaScript directly within the Snowflake data platform.
-
B.
Snowpark for Scala
Snowpark for Scala is a developer framework that lets Scala users build and run data pipelines and applications directly in Snowflake using familiar Scala APIs.
-
C.
Snowpark DataFrame API
The Snowpark DataFrame API is a developer framework for building and executing scalable, DataFrame-style data transformations and applications directly within the Snowflake data platform.
-
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.
Python (via Snowpark)
chosen
Python (via Snowpark) is Snowflake’s integration of the Python language for building and running data pipelines, machine learning, and other data applications directly within the Snowflake data platform.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e41bf08190963848f1597b6e9f |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.