Triple
T12682797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapid SQL |
E302988
|
entity |
| Predicate | supportsDatabasePlatform |
P5090
|
FINISHED |
| Object | Snowflake |
E17845
|
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 | Statement: [Rapid SQL, supportsDatabasePlatform, Snowflake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowflake Context triple: [Rapid SQL, supportsDatabasePlatform, Snowflake]
-
A.
Snowflake
chosen
Snowflake is a cloud-based data warehousing platform known for its scalable, high-performance analytics and separation of storage and compute.
-
B.
Snowflake
Snowflake is one of the official mascots of the 2002 Winter Olympics in Salt Lake City, representing winter and the Olympic spirit.
-
C.
Snowflake
Snowflake is one of the official mascots of the 2014 Winter Paralympic Games in Sochi, symbolizing the spirit, resilience, and inclusivity of Paralympic athletes.
-
D.
Snowflake
"Snowflake" is a song featured on the soundtrack album for the film "Car Wash."
-
E.
Snowflake
Snowflake is a deadly programmable virus featured in the film "Fast & Furious Presents: Hobbs & Shaw."
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96411d87481909127e81755f23964 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7722788190867cc8a27f678b4f |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:21 p.m.