Triple
T11656677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SqlTransaction |
E277026
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | SqlCommand |
E827340
|
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: SqlCommand | Statement: [SqlTransaction, associatedWith, SqlCommand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SqlCommand Context triple: [SqlTransaction, associatedWith, SqlCommand]
-
A.
SqlCommand
chosen
SqlCommand is an ADO.NET class used to define and execute SQL statements and stored procedures against a SQL Server database.
-
B.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
C.
SQL API
SQL API is a query interface in Apache Flink that lets users define streaming and batch data processing logic using standard SQL syntax.
-
D.
SqlDataAdapter
SqlDataAdapter is an ADO.NET component that acts as a bridge between a SQL Server database and a DataSet, handling the retrieval and updating of data without requiring explicit connection management in application code.
-
E.
Rapid SQL
Rapid SQL is a database development and SQL IDE tool from Embarcadero Technologies designed to help developers and DBAs build, test, and optimize SQL code across multiple database platforms.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d0331481909682b2e504e4c9a0 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee88166900819095063f045be44bed |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.