Triple
T7937430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM Data and AI portfolio |
E184318
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
IBM Watson Machine Learning
IBM Watson Machine Learning is a cloud-based service that enables developers and data scientists to build, deploy, and manage machine learning and deep learning models at scale.
|
E699600
|
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: IBM Watson Machine Learning | Statement: [IBM Data and AI portfolio, hasComponent, IBM Watson Machine Learning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IBM Watson Machine Learning Context triple: [IBM Data and AI portfolio, hasComponent, IBM Watson Machine Learning]
-
A.
IBM watsonx.data
IBM watsonx.data is a cloud-native data store and lakehouse platform designed to efficiently manage, govern, and analyze large volumes of structured and unstructured data for AI and analytics workloads.
-
B.
IBM Watson
IBM Watson is IBM’s artificial intelligence platform known for its natural language processing, machine learning capabilities, and high-profile applications such as winning on Jeopardy! and powering enterprise AI solutions.
-
C.
IBM Watson Discovery
IBM Watson Discovery is an AI-powered enterprise search and text analytics platform that uses natural language processing to extract insights from large volumes of unstructured data.
-
D.
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.
-
E.
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.
- 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: IBM Watson Machine Learning Triple: [IBM Data and AI portfolio, hasComponent, IBM Watson Machine Learning]
Generated description
IBM Watson Machine Learning is a cloud-based service that enables developers and data scientists to build, deploy, and manage machine learning and deep learning models at scale.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IBM Watson Machine Learning Target entity description: IBM Watson Machine Learning is a cloud-based service that enables developers and data scientists to build, deploy, and manage machine learning and deep learning models at scale.
-
A.
IBM watsonx.data
IBM watsonx.data is a cloud-native data store and lakehouse platform designed to efficiently manage, govern, and analyze large volumes of structured and unstructured data for AI and analytics workloads.
-
B.
IBM Watson
chosen
IBM Watson is IBM’s artificial intelligence platform known for its natural language processing, machine learning capabilities, and high-profile applications such as winning on Jeopardy! and powering enterprise AI solutions.
-
C.
IBM Watson Discovery
IBM Watson Discovery is an AI-powered enterprise search and text analytics platform that uses natural language processing to extract insights from large volumes of unstructured data.
-
D.
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.
-
E.
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.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aef2394819086eea1f6ab117aed |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63aae4dc81908cbe4a89d6bd359c |
completed | April 1, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_69cc651b4be08190ad76c70b1d617c1a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc664700dc819097d149931cf49673 |
completed | April 1, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:08 p.m.