Triple
T37657047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQL Server Management Objects |
E937627
|
entity |
| Predicate | targetDatabaseSystem |
P95953
|
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: [SQL Server Management Objects, targetDatabaseSystem, Microsoft SQL Server]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetDatabaseSystem Context triple: [SQL Server Management Objects, targetDatabaseSystem, Microsoft SQL Server]
-
A.
databaseType
Indicates the specific kind or category of database technology associated with an entity.
-
B.
databaseProduct
chosen
Indicates that one entity is a database system that serves as the product or platform associated with another entity.
-
C.
supportsEnterpriseDatabases
Indicates that something is capable of working with or being compatible with enterprise-grade database systems.
-
D.
typicalDatabaseEngine
Indicates that an entity functions as a standard or commonly used database engine in typical usage scenarios.
-
E.
primaryDatabaseFormat
Indicates the main data storage format or structure used by a database as its default or principal representation.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: May 3, 2026, 4:18 p.m.