Triple
T1612773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LINQ |
E34648
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | LINQ to SQL |
E34648
|
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: LINQ to SQL | Statement: [LINQ, hasComponent, LINQ to SQL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LINQ to SQL Context triple: [LINQ, hasComponent, LINQ to SQL]
-
A.
LINQ
chosen
LINQ (Language Integrated Query) is a .NET feature that provides a unified, SQL-like syntax for querying and manipulating data from various sources directly within programming languages such as C#.
-
B.
.NET Data Provider for SQL Server
.NET Data Provider for SQL Server is a specialized ADO.NET component that enables high-performance, managed access to Microsoft SQL Server databases from .NET applications.
-
C.
Entity Framework
Entity Framework is Microsoft's object-relational mapper (ORM) for .NET that enables developers to work with databases using .NET objects instead of writing most SQL code directly.
-
D.
OLE DB
OLE DB is a Microsoft data access API that provides a uniform way for applications to access data from a variety of relational and non-relational data sources.
-
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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9098e245c8190b0169b648434aa49 |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51c751308190a89f6462ee365418 |
completed | March 8, 2026, 10:39 a.m. |
Created at: March 4, 2026, 7:28 p.m.