Triple

T12322239
Position Surface form Disambiguated ID Type / Status
Subject Amazon SageMaker E293756 entity
Predicate hasFeature P182 FINISHED
Object SageMaker Notebook Instances E293756 NE FINISHED

How this triple was built (2 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 Notebook Instances | Statement: [Amazon SageMaker, hasFeature, SageMaker Notebook Instances]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SageMaker Notebook Instances
Context triple: [Amazon SageMaker, hasFeature, SageMaker Notebook Instances]
  • 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. 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.
  • C. NVIDIA NGC
    NVIDIA NGC is a cloud-based catalog of GPU-optimized software, including containers, pretrained models, and SDKs, designed to accelerate AI, data science, and HPC development and deployment.
  • D. Jupyter Notebook
    Jupyter Notebook is an open-source web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.
  • E. Jupyter Server
    Jupyter Server is the backend application that manages and serves Jupyter notebooks, kernels, and related services for frontends like JupyterLab.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: April 8, 2026, 9:53 p.m.