Triple

T18705197
Position Surface form Disambiguated ID Type / Status
Subject BulkInferrer E457350 entity
Predicate instanceOf P0 FINISHED
Object batch inference component 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: batch inference component
Context triple: [BulkInferrer, instanceOf, batch inference component]
  • A. 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.
  • B. inference runtime library
    An inference runtime library is a software component that efficiently executes trained machine learning models on target hardware, managing model loading, optimization, and prediction workflows.
  • C. 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.
  • D. benchmark in artificial intelligence
    A benchmark in artificial intelligence is a standardized task, dataset, or evaluation protocol used to quantitatively compare and assess the performance of AI models and algorithms.
  • E. analytics acceleration layer
    An analytics acceleration layer is an intermediate software component that optimizes, caches, and streamlines data access and computation to deliver faster, more efficient analytical queries and insights across underlying data sources.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 11:49 a.m.