Triple

T2880515
Position Surface form Disambiguated ID Type / Status
Subject SQL Server Integration Services E56984 entity
Predicate supportsDeployment P203 FINISHED
Object Azure-SSIS Integration Runtime in Azure Data Factory E185663 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: Azure-SSIS Integration Runtime in Azure Data Factory | Statement: [SQL Server Integration Services, supportsDeployment, Azure-SSIS Integration Runtime in Azure Data Factory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azure-SSIS Integration Runtime in Azure Data Factory
Context triple: [SQL Server Integration Services, supportsDeployment, Azure-SSIS Integration Runtime in Azure Data Factory]
  • A. Azure Data Factory chosen
    Azure Data Factory is a cloud-based data integration service from Microsoft that enables users to create, schedule, and orchestrate data pipelines for moving and transforming data at scale across diverse sources.
  • B. SQL Server Integration Services
    SQL Server Integration Services is a Microsoft ETL and data integration platform used to extract, transform, and load data between diverse sources within the SQL Server ecosystem.
  • C. Azure Synapse Analytics
    Azure Synapse Analytics is a cloud-based analytics service from Microsoft that unifies big data and data warehousing to enable large-scale data integration, exploration, and business intelligence.
  • D. Azure Data Lake Storage
    Azure Data Lake Storage is a scalable, secure cloud-based data lake service from Microsoft designed for big data analytics and enterprise data warehousing workloads.
  • E. Azure Analysis Services
    Azure Analysis Services is a fully managed Microsoft cloud service that provides enterprise-grade semantic data modeling and analytical processing for business intelligence solutions.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0296be081908070bd48fe4fc926 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b031633efc819088c2ea29eafaff0f completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:03 p.m.