Triple

T18300563
Position Surface form Disambiguated ID Type / Status
Subject Ray Serve E438347 entity
Predicate instanceOf P0 FINISHED
Object model serving library C25929 CONCEPT FINISHED

How this triple was built (1 step)

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.

CD Concept disambiguation gpt-5-mini-2025-08-07
Target class: model serving library
Context triple: [Ray Serve, instanceOf, model serving library]
  • A. machine learning model repository
    A machine learning model repository is a centralized system for storing, versioning, organizing, and sharing trained models and their associated metadata throughout their lifecycle.
  • B. AI inference server chosen
    An AI inference server is a system that hosts trained machine learning models and processes incoming requests to generate predictions or responses in real time.
  • C. machine learning library
    A machine learning library is a collection of tools, algorithms, and interfaces that simplifies building, training, evaluating, and deploying machine learning models.
  • D. deep learning library
    A deep learning library is a software framework that provides tools, abstractions, and optimized routines to design, train, and deploy neural network models.
  • E. machine learning model format
    A machine learning model format is a standardized representation that defines how a trained model’s structure, parameters, and metadata are stored, exchanged, and loaded across tools and environments.
  • F. None of above.

Provenance (1 batch)

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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
Created at: April 10, 2026, 10:35 a.m.