Triple
T2880566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQL Server Profiler |
E56985
|
entity |
| Predicate | canCapture |
P21736
|
FINISHED |
| Object | RPC:Completed events |
—
|
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: RPC:Completed events | Statement: [SQL Server Profiler, canCapture, RPC:Completed events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canCapture Context triple: [SQL Server Profiler, canCapture, RPC:Completed events]
-
A.
captureType
chosen
Indicates the manner or method by which something is captured, recorded, or acquired in the context of the relationship.
-
B.
capturedBy
Indicates that one entity has been seized, taken into control, or otherwise apprehended by another entity.
-
C.
capturedIn
Indicates that one entity was taken prisoner, seized, or otherwise brought under control within the context, location, or event represented by another entity.
-
D.
captures
Indicates that one entity seizes, traps, or takes control of another entity, often preventing its escape or freedom.
-
E.
hasCamera
Indicates that an entity is equipped with or possesses a camera.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe0296be081908070bd48fe4fc926 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.