Triple

T11655575
Position Surface form Disambiguated ID Type / Status
Subject DQS Server E277004 entity
Predicate supportsVersion P203 FINISHED
Object SQL Server 2016 E7155 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: SQL Server 2016 | Statement: [DQS Server, supportsVersion, SQL Server 2016]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SQL Server 2016
Context triple: [DQS Server, supportsVersion, SQL Server 2016]
  • A. 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.
  • B. SQL Server Management Data Warehouse
    SQL Server Management Data Warehouse is a SQL Server feature that collects, stores, and reports performance and configuration data from managed servers to support monitoring and analysis.
  • 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. MSIServer
    MSIServer is the Windows service that manages installation, modification, and removal of software using the Windows Installer technology.
  • E. Azure SQL family
    Azure SQL family is a suite of Microsoft cloud-based SQL database services that offers various deployment options for running and managing SQL Server workloads on Azure.
  • 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_69d8a3cee010819089cffdbefe5a6efb completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1303147948190b8d3b72529d23842 completed April 28, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:39 p.m.