Triple
T4326290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python (via Snowpark) |
E96640
|
entity |
| Predicate | executesCode |
P48085
|
FINISHED |
| Object | inside Snowflake compute resources |
—
|
LITERAL 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: inside Snowflake compute resources | Statement: [Python (via Snowpark), executesCode, inside Snowflake compute resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: executesCode Context triple: [Python (via Snowpark), executesCode, inside Snowflake compute resources]
-
A.
scriptCode
Indicates that an entity is associated with a particular writing system or script, identified by a standardized script code.
-
B.
appliesCode
chosen
Indicates that one entity enforces, executes, or puts into effect a specific code, rule set, or coding scheme on another entity or context.
-
C.
operatorCode
Indicates that one entity is associated with a specific operator’s identifying code used to denote who performs or manages an operation or service.
-
D.
executedWith
Indicates that an action or process was carried out using, accompanied by, or in conjunction with a specified tool, method, or participant.
-
E.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
- F. None of above.
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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3513020f481909ff2fec3934f3002 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.