Triple

T452375
Position Surface form Disambiguated ID Type / Status
Subject SQL Server E7155 entity
Predicate supportsFeature P203 FINISHED
Object SQL Trace
SQL Trace is a SQL Server feature that captures and records detailed database engine events for monitoring, troubleshooting, and performance analysis.
 E7155 NE FINISHED

How this triple was built (4 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: SQL Trace | Statement: [SQL Server, supportsFeature, SQL Trace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SQL Trace
Context triple: [SQL Server, supportsFeature, SQL Trace]
  • A. SQL
    SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
  • B. 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.
  • C. Test Track
    Test Track is a high-speed automotive-themed attraction at EPCOT where guests experience a simulated vehicle testing facility.
  • D. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • E. SQLite
    SQLite is a lightweight, self-contained, serverless SQL database engine widely embedded in applications, operating systems, and devices.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SQL Trace
Triple: [SQL Server, supportsFeature, SQL Trace]
Generated description
SQL Trace is a SQL Server feature that captures and records detailed database engine events for monitoring, troubleshooting, and performance analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SQL Trace
Target entity description: SQL Trace is a SQL Server feature that captures and records detailed database engine events for monitoring, troubleshooting, and performance analysis.
  • A. SQL
    SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
  • B. SQL Server chosen
    SQL Server is Microsoft's enterprise-grade relational database management system used for storing, managing, and analyzing data in a wide range of applications.
  • C. Test Track
    Test Track is a high-speed automotive-themed attraction at EPCOT where guests experience a simulated vehicle testing facility.
  • D. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • E. SQLite
    SQLite is a lightweight, self-contained, serverless SQL database engine widely embedded in applications, operating systems, and devices.
  • F. None of above.

Provenance (5 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef854f7481909dc2207faf0327ec completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44802e858819081a0b5b98bb25bce completed March 1, 2026, 2:06 p.m.
NEDg Description generation batch_69a449b1e2708190838e32497ffd2fbd completed March 1, 2026, 2:14 p.m.
NED2 Entity disambiguation (via description) batch_69a44a07fa18819089cb8005d476d078 completed March 1, 2026, 2:15 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.