Triple
T37706898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQLAgentOperatorRole |
E939220
|
entity |
| Predicate | definedInComponent |
P55139
|
FINISHED |
| Object | msdb database |
—
|
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: msdb database | Statement: [SQLAgentOperatorRole, definedInComponent, msdb database]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definedInComponent Context triple: [SQLAgentOperatorRole, definedInComponent, msdb database]
-
A.
definesComponent
chosen
Indicates that one entity specifies or establishes the structure, behavior, or characteristics of another entity as its component.
-
B.
areDefinedIn
Indicates that the referenced entities are specified, described, or formally established within a particular source, context, or scope.
-
C.
definedInModel
Indicates that an element or concept is specified, structured, or formally represented within a particular model.
-
D.
definedInField
Indicates that something (such as a concept, method, or element) is formally specified, declared, or established within a particular field, domain, or area of study.
-
E.
definedVia
Indicates that one entity is specified, characterized, or given its meaning by reference to another entity or construct.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff109695008190a22b47ef8be2e3f9 |
completed | May 9, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69ff0f243ea88190970d2c520b55c816 |
completed | May 9, 2026, 10:40 a.m. |
Created at: May 3, 2026, 4:18 p.m.