Triple
T1610633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Azure |
E34605
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object |
Azure Machine Learning
Azure Machine Learning is a cloud-based platform that enables developers and data scientists to build, train, deploy, and manage machine learning models at scale.
|
E34605
|
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: Azure Machine Learning | Statement: [Microsoft Azure, hasService, Azure Machine Learning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azure Machine Learning Context triple: [Microsoft Azure, hasService, Azure Machine Learning]
-
A.
Azure
Azure is Microsoft's cloud computing platform offering a wide range of services for building, deploying, and managing applications and infrastructure through Microsoft-managed data centers.
-
B.
Microsoft Cognitive Toolkit
Microsoft Cognitive Toolkit (CNTK) is an open-source deep learning framework developed by Microsoft for building, training, and deploying neural networks at scale.
-
C.
Vertex AI
Vertex AI is Google Cloud’s unified machine learning platform for building, training, and deploying ML models at scale.
-
D.
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.
-
E.
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.
- 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: Azure Machine Learning Triple: [Microsoft Azure, hasService, Azure Machine Learning]
Generated description
Azure Machine Learning is a cloud-based platform that enables developers and data scientists to build, train, deploy, and manage machine learning models at scale.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azure Machine Learning Target entity description: Azure Machine Learning is a cloud-based platform that enables developers and data scientists to build, train, deploy, and manage machine learning models at scale.
-
A.
Azure
chosen
Azure is Microsoft's cloud computing platform offering a wide range of services for building, deploying, and managing applications and infrastructure through Microsoft-managed data centers.
-
B.
Microsoft Cognitive Toolkit
Microsoft Cognitive Toolkit (CNTK) is an open-source deep learning framework developed by Microsoft for building, training, and deploying neural networks at scale.
-
C.
Vertex AI
Vertex AI is Google Cloud’s unified machine learning platform for building, training, and deploying ML models at scale.
-
D.
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.
-
E.
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.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622b9fbc8190bff82acdde10deb6 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51c4bbfc8190b9d00e1562155a5f |
completed | March 8, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_69ad526a5e648190b3f40a85c0c06abb |
completed | March 8, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad52e053f081908af40a7602dab301 |
completed | March 8, 2026, 10:43 a.m. |
Created at: March 4, 2026, 7:28 p.m.