Triple
T5067115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Autonomous Data Warehouse |
E114170
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object |
Oracle Machine Learning
Oracle Machine Learning is a suite of in-database machine learning algorithms and tools from Oracle that enables data scientists and analysts to build, deploy, and manage predictive models directly within Oracle databases.
|
E490093
|
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: Oracle Machine Learning | Statement: [Oracle Autonomous Data Warehouse, integratesWith, Oracle Machine Learning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oracle Machine Learning Context triple: [Oracle Autonomous Data Warehouse, integratesWith, Oracle Machine Learning]
-
A.
Azure Machine Learning
Azure Machine Learning is a cloud-based service from Microsoft for building, training, deploying, and managing machine learning models at scale on Azure.
-
B.
Oracle AI Services
Oracle AI Services is a suite of cloud-based artificial intelligence tools and APIs from Oracle that enable developers to easily add capabilities like machine learning, computer vision, language processing, and anomaly detection to their applications.
-
C.
Oracle Big Data Service
Oracle Big Data Service is a managed cloud platform on Oracle Cloud Infrastructure for deploying, managing, and scaling big data and Hadoop-based analytics workloads.
-
D.
Oracle Autonomous Data Warehouse
Oracle Autonomous Data Warehouse is a fully managed, cloud-based data warehouse service from Oracle that uses automation and machine learning to handle provisioning, tuning, scaling, and security for analytics workloads.
-
E.
Amazon SageMaker
Amazon SageMaker is a fully managed cloud service that enables developers and data scientists to build, train, and deploy machine learning models at scale.
- 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: Oracle Machine Learning Triple: [Oracle Autonomous Data Warehouse, integratesWith, Oracle Machine Learning]
Generated description
Oracle Machine Learning is a suite of in-database machine learning algorithms and tools from Oracle that enables data scientists and analysts to build, deploy, and manage predictive models directly within Oracle databases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oracle Machine Learning Target entity description: Oracle Machine Learning is a suite of in-database machine learning algorithms and tools from Oracle that enables data scientists and analysts to build, deploy, and manage predictive models directly within Oracle databases.
-
A.
Azure Machine Learning
Azure Machine Learning is a cloud-based service from Microsoft for building, training, deploying, and managing machine learning models at scale on Azure.
-
B.
Oracle AI Services
Oracle AI Services is a suite of cloud-based artificial intelligence tools and APIs from Oracle that enable developers to easily add capabilities like machine learning, computer vision, language processing, and anomaly detection to their applications.
-
C.
Oracle Big Data Service
Oracle Big Data Service is a managed cloud platform on Oracle Cloud Infrastructure for deploying, managing, and scaling big data and Hadoop-based analytics workloads.
-
D.
Oracle Autonomous Data Warehouse
Oracle Autonomous Data Warehouse is a fully managed, cloud-based data warehouse service from Oracle that uses automation and machine learning to handle provisioning, tuning, scaling, and security for analytics workloads.
-
E.
Amazon SageMaker
Amazon SageMaker is a fully managed cloud service that enables developers and data scientists to build, train, and deploy machine learning models at scale.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749bf69c819093e75dce56f1c0ab |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49d917081909ead17eed3f8af90 |
completed | March 21, 2026, 2:01 p.m. |
| NEDg | Description generation | batch_69bea525d9088190b0b655687dd27630 |
completed | March 21, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea594850881909cd683670b63a079 |
completed | March 21, 2026, 2:05 p.m. |
Created at: March 20, 2026, 1:38 p.m.