Triple
T10016139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benoit Dageville |
E199499
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object | Snowflake architecture |
E96642
|
NE FINISHED |
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 architecture | Statement: [Benoit Dageville, designed, Snowflake architecture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowflake architecture Context triple: [Benoit Dageville, designed, Snowflake architecture]
-
A.
Snowflake Data Cloud
chosen
Snowflake Data Cloud is a cloud-native data platform that enables organizations to store, integrate, and analyze data at scale across multiple clouds with a unified, fully managed service.
-
B.
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.
-
C.
Snowflake Native Apps
Snowflake Native Apps are applications built and deployed directly within the Snowflake Data Cloud, allowing developers to create, distribute, and monetize data-intensive solutions that run securely where the data lives.
-
D.
Greenplum
Greenplum is a massively parallel, open-source data warehouse and analytics platform designed for large-scale business intelligence and big data workloads.
-
E.
Palantir Apollo
Palantir Apollo is Palantir Technologies’ continuous delivery and deployment platform designed to manage and update complex software across diverse, distributed environments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4ad3348190bae03cd37c787674 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a99971081908397f06c0ce913d0 |
completed | April 5, 2026, 1:58 p.m. |
Created at: March 30, 2026, 8:52 p.m.