Triple
T2556207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQL Server Management Studio |
E56734
|
entity |
| Predicate | supportsDatabaseSystem |
P13398
|
FINISHED |
| Object | Azure SQL Managed Instance |
E56739
|
NE 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: Azure SQL Managed Instance | Statement: [SQL Server Management Studio, supportsDatabaseSystem, Azure SQL Managed Instance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azure SQL Managed Instance Context triple: [SQL Server Management Studio, supportsDatabaseSystem, Azure SQL Managed Instance]
-
A.
Azure SQL Managed Instance
chosen
Azure SQL Managed Instance is a fully managed, cloud-based deployment option in Microsoft Azure that provides near 100% compatibility with on-premises SQL Server while offering automated management, scaling, and high availability.
-
B.
Azure SQL Database
Azure SQL Database is Microsoft’s fully managed, cloud-based relational database service built on SQL Server technology for scalable, secure data storage and processing.
-
C.
SQL Server on Azure Virtual Machines
SQL Server on Azure Virtual Machines is a cloud-based deployment option that runs full SQL Server instances on Azure-hosted virtual machines, offering flexible control, customization, and compatibility with on-premises SQL Server environments.
-
D.
Azure Synapse Analytics
Azure Synapse Analytics is a cloud-based analytics service from Microsoft that unifies big data and data warehousing to enable large-scale data integration, exploration, and business intelligence.
-
E.
SQL Server
SQL Server is Microsoft's enterprise-grade relational database management system used for storing, managing, and analyzing data in a wide range of applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd8317b0481908d6d1436732253b2 |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa044d42881908e0b03713b3a5c3b |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:48 p.m.