Triple
T37706897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQLAgentOperatorRole |
E939220
|
entity |
| Predicate | definedInProduct |
P127831
|
FINISHED |
| Object | Microsoft SQL Server |
—
|
NE NERFINISHED |
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: Microsoft SQL Server | Statement: [SQLAgentOperatorRole, definedInProduct, Microsoft SQL Server]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definedInProduct Context triple: [SQLAgentOperatorRole, definedInProduct, Microsoft SQL Server]
-
A.
definedInPart
Indicates that something is specified, described, or formally established within a particular part or section of a larger whole.
-
B.
introducedInProduct
Indicates that something (such as a feature, component, or concept) first appeared or was initially made available within a particular product.
-
C.
foundInProduct
chosen
Indicates that something is contained, included, or present within a particular product.
-
D.
definedInModel
Indicates that an element or concept is specified, structured, or formally represented within a particular model.
-
E.
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.
- 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_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
Created at: May 3, 2026, 4:18 p.m.