Triple
T7984895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Data Lake Storage |
E185662
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object |
Azure HDInsight
Azure HDInsight is a fully managed cloud service from Microsoft that provides scalable Apache Hadoop, Spark, Hive, and other big data frameworks for processing and analyzing large datasets.
|
E705281
|
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 HDInsight | Statement: [Azure Data Lake Storage, integratesWith, Azure HDInsight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azure HDInsight Context triple: [Azure Data Lake Storage, integratesWith, Azure HDInsight]
-
A.
Amazon EMR
Amazon EMR is a managed big data platform on AWS that simplifies running large-scale data processing frameworks like Apache Hadoop and Spark on elastic cloud clusters.
-
B.
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.
-
C.
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.
-
D.
Azure Data Factory
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.
-
E.
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.
- 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 HDInsight Triple: [Azure Data Lake Storage, integratesWith, Azure HDInsight]
Generated description
Azure HDInsight is a fully managed cloud service from Microsoft that provides scalable Apache Hadoop, Spark, Hive, and other big data frameworks for processing and analyzing large datasets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azure HDInsight Target entity description: Azure HDInsight is a fully managed cloud service from Microsoft that provides scalable Apache Hadoop, Spark, Hive, and other big data frameworks for processing and analyzing large datasets.
-
A.
Amazon EMR
Amazon EMR is a managed big data platform on AWS that simplifies running large-scale data processing frameworks like Apache Hadoop and Spark on elastic cloud clusters.
-
B.
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.
-
C.
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.
-
D.
Azure Data Factory
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.
-
E.
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.
- F. None of above. chosen
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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4a55b881909a96133e56c0dffa |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0e0b2748190930c22c6157d1b07 |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cc46c221848190848c7e017e532a16 |
completed | March 31, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc480d2f40819085046a1d0c9d05e0 |
completed | March 31, 2026, 10:17 p.m. |
Created at: March 30, 2026, 5:15 p.m.