Triple

T32415322
Position Surface form Disambiguated ID Type / Status
Subject Anomaly Detector E828319 entity
Predicate instanceOf P0 FINISHED
Object machine learning service C15636 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: machine learning service
Context triple: [Anomaly Detector, instanceOf, machine learning service]
  • A. machine learning platform component chosen
    A machine learning platform component is a modular software element that provides specific functionality—such as data processing, model training, deployment, or monitoring—within an integrated ML lifecycle system.
  • B. reinforcement learning service
    A reinforcement learning service is a system that provides infrastructure, algorithms, and interfaces for training, deploying, and managing agents that learn optimal behaviors through trial-and-error interactions with an environment.
  • C. AI inference server
    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.
  • D. machine learning division
    The machine learning division is an organizational unit responsible for researching, developing, and deploying data-driven algorithms and models to solve complex problems and enhance products or services.
  • E. 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.
  • 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_69f34919f300819092b541c6277cd68a completed April 30, 2026, 12:20 p.m.
Created at: May 1, 2026, 12:54 a.m.