Triple
T1672230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure SQL Database |
E36150
|
entity |
| Predicate | supportsLanguage |
P2177
|
FINISHED |
| Object | T-SQL |
E5275
|
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: T-SQL | Statement: [Azure SQL Database, supportsLanguage, T-SQL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T-SQL Context triple: [Azure SQL Database, supportsLanguage, T-SQL]
-
A.
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.
-
B.
SQL
chosen
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
C.
SQL Server Management Studio
SQL Server Management Studio is a graphical administration and development environment used to configure, manage, and query Microsoft SQL Server databases.
-
D.
SQL Server Integration Services
SQL Server Integration Services is a Microsoft ETL and data integration platform used to extract, transform, and load data between diverse sources within the SQL Server ecosystem.
-
E.
SQL Server Profiler
SQL Server Profiler is a graphical tool for monitoring, tracing, and analyzing SQL Server database engine events in real time to help with performance tuning and troubleshooting.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6244b2888190b551b55aa053f1d3 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7988bda081908a966ae1f589cb8f |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 4, 2026, 7:29 p.m.