Triple
T18017579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virtual Warehouse (Snowflake) |
E431032
|
entity |
| Predicate | monitoredWith |
P70758
|
FINISHED |
| Object | Snowflake Information Schema views |
—
|
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: Snowflake Information Schema views | Statement: [Virtual Warehouse (Snowflake), monitoredWith, Snowflake Information Schema views]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowflake Information Schema views Context triple: [Virtual Warehouse (Snowflake), monitoredWith, Snowflake Information Schema views]
-
A.
Snowflake INFORMATION_SCHEMA views
chosen
Snowflake INFORMATION_SCHEMA views are system-defined metadata views that provide detailed information about database objects, operations, and usage within a Snowflake account.
-
B.
Snowflake ACCOUNT_USAGE views
Snowflake ACCOUNT_USAGE views are system-defined views that provide detailed metadata and monitoring information about Snowflake objects and activities, enabling auditing, cost analysis, and operational visibility.
-
C.
Snowflake virtual warehouses
Snowflake virtual warehouses are scalable compute clusters in the Snowflake cloud data platform that execute queries and data processing workloads independently of storage.
-
D.
Snowflake UDFs
Snowflake UDFs (User-Defined Functions) are custom functions written in supported programming languages that run directly within the Snowflake data platform to extend its built-in SQL and analytical capabilities.
-
E.
Snowflake streams
Snowflake streams are a change data capture feature in Snowflake that track and expose table data changes (inserts, updates, deletes) for incremental processing and near-real-time analytics.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9bf85c08190a40cef4c6d7b566a |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.