Triple

T12322252
Position Surface form Disambiguated ID Type / Status
Subject Amazon SageMaker E293756 entity
Predicate hasFeature P182 FINISHED
Object SageMaker JumpStart
SageMaker JumpStart is an Amazon SageMaker capability that provides pre-built machine learning solutions, models, and notebooks to help users quickly start and accelerate ML development.
E293756 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: SageMaker JumpStart | Statement: [Amazon SageMaker, hasFeature, SageMaker JumpStart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SageMaker JumpStart
Context triple: [Amazon SageMaker, hasFeature, SageMaker JumpStart]
  • A. 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.
  • B. Turi Create
    Turi Create is an open-source Python library from Apple that simplifies building, training, and deploying machine learning models, especially for use with Apple’s Core ML framework.
  • C. Landing AI
    Landing AI is a technology company focused on making artificial intelligence accessible to traditional industries by helping them build and deploy practical AI solutions, particularly in manufacturing and computer vision.
  • D. AWS Deep Learning AMI
    AWS Deep Learning AMI is an Amazon Web Services virtual machine image preconfigured with popular deep learning frameworks, tools, and drivers to simplify building and training machine learning models in the cloud.
  • E. OpenAI API platform
    The OpenAI API platform is a cloud-based service that provides developers with programmatic access to OpenAI’s language, code, and other AI models for integration into applications and workflows.
  • 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: SageMaker JumpStart
Triple: [Amazon SageMaker, hasFeature, SageMaker JumpStart]
Generated description
SageMaker JumpStart is an Amazon SageMaker capability that provides pre-built machine learning solutions, models, and notebooks to help users quickly start and accelerate ML development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SageMaker JumpStart
Target entity description: SageMaker JumpStart is an Amazon SageMaker capability that provides pre-built machine learning solutions, models, and notebooks to help users quickly start and accelerate ML development.
  • A. Amazon SageMaker chosen
    Amazon SageMaker is a fully managed cloud service that enables developers and data scientists to build, train, and deploy machine learning models at scale.
  • B. Turi Create
    Turi Create is an open-source Python library from Apple that simplifies building, training, and deploying machine learning models, especially for use with Apple’s Core ML framework.
  • C. Landing AI
    Landing AI is a technology company focused on making artificial intelligence accessible to traditional industries by helping them build and deploy practical AI solutions, particularly in manufacturing and computer vision.
  • D. AWS Deep Learning AMI
    AWS Deep Learning AMI is an Amazon Web Services virtual machine image preconfigured with popular deep learning frameworks, tools, and drivers to simplify building and training machine learning models in the cloud.
  • E. OpenAI API platform
    The OpenAI API platform is a cloud-based service that provides developers with programmatic access to OpenAI’s language, code, and other AI models for integration into applications and workflows.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4d7dac81909ff10e64e229ef33 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8aa94881908e4c184062037ab5 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5e20cc8190a84f50ddded76974 completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62041f2408190ad320fec5283abdd completed May 2, 2026, 4:03 p.m.
Created at: April 8, 2026, 9:53 p.m.