Triple

T7984654
Position Surface form Disambiguated ID Type / Status
Subject Azure Analysis Services E185658 entity
Predicate integratesWith P1075 FINISHED
Object SQL Server 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 | Statement: [Azure Analysis Services, integratesWith, SQL Server]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SQL Server
Context triple: [Azure Analysis Services, integratesWith, SQL Server]
  • 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 Studio
    SQL Server Management Studio is a graphical administration and development environment used to configure, manage, and query Microsoft SQL Server databases.
  • C. MSIServer
    MSIServer is the Windows service that manages installation, modification, and removal of software using the Windows Installer technology.
  • D. Azure SQL Database
    Azure SQL Database is Microsoft’s fully managed, cloud-based relational database service built on SQL Server technology for scalable, secure data storage and processing.
  • E. 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.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c2b543c81909b82bc478d579e0b completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe17811081909c19f18c853617af completed April 1, 2026, 6:41 a.m.
Created at: March 30, 2026, 5:15 p.m.