Triple
T4279492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRIN |
E97114
|
entity |
| Predicate | sqlSyntaxExample |
P38052
|
FINISHED |
| Object | CREATE INDEX idx ON table USING brin(column); |
—
|
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: CREATE INDEX idx ON table USING brin(column); | Statement: [BRIN, sqlSyntaxExample, CREATE INDEX idx ON table USING brin(column);]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sqlSyntaxExample Context triple: [BRIN, sqlSyntaxExample, CREATE INDEX idx ON table USING brin(column);]
-
A.
codeExample
Indicates that one entity provides a snippet or sample of source code that illustrates how to use, implement, or demonstrate another entity.
-
B.
definesSyntax
chosen
Indicates that one entity specifies or determines the formal structure, rules, or grammar by which another entity is expressed or interpreted.
-
C.
databaseType
Indicates the specific kind or category of database technology associated with an entity.
-
D.
usedInDatabases
Indicates that something is employed or implemented within one or more database systems or database contexts.
-
E.
includesClause
Indicates that one entity (typically a document, contract, or statement) contains or incorporates a specific clause as part of its content.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350367da48190b735deef9b5d2d2e |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.