Triple

T18204762
Position Surface form Disambiguated ID Type / Status
Subject Bloom E435874 entity
Predicate hostingPlatform P16030 FINISHED
Object Hugging Face Hub NE NERFINISHED

How this triple was built (3 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: Hugging Face Hub | Statement: [Bloom, hostingPlatform, Hugging Face Hub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugging Face Hub
Context triple: [Bloom, hostingPlatform, Hugging Face Hub]
  • A. Hugging Face chosen
    Hugging Face is an AI company and open-source community best known for its tools and libraries that make it easy to build, share, and deploy state-of-the-art machine learning models.
  • B. Hugging Face Transformers
    Hugging Face Transformers is a widely used open-source library that provides state-of-the-art transformer-based models and tools for natural language processing and related machine learning tasks.
  • C. Hugging Face Datasets
    Hugging Face Datasets is an open-source library that provides a large collection of ready-to-use datasets and efficient data loading tools for machine learning and natural language processing workflows.
  • D. TensorFlow Hub
    TensorFlow Hub is a library and online repository of reusable machine learning models and components designed to simplify sharing and deploying pretrained models in TensorFlow applications.
  • E. Hugging Face Accelerate
    Hugging Face Accelerate is a lightweight library that simplifies running and scaling PyTorch and Transformers models across CPUs, GPUs, and distributed hardware with minimal code changes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hostingPlatform
Context triple: [Bloom, hostingPlatform, Hugging Face Hub]
  • A. hostedOn chosen
    Indicates that one entity operates, resides, or is made available on another entity that provides the underlying platform or infrastructure.
  • B. hostingLocation
    Indicates the place or venue where an event, activity, or entity is being hosted or takes place.
  • C. coHostingPlan
    Indicates a planned arrangement in which two or more parties jointly host or organize an event or activity.
  • D. hostedEnvironment
    Indicates that one entity provides the runtime or operational environment in which another entity is deployed, executed, or made available.
  • E. hostPlanet
    Indicates that one entity serves as the primary planetary body on which the other entity resides, originates, or is based.
  • F. None of above.

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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
PD Predicate disambiguation batch_69e4332155d88190b106d0dceb4554af completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:32 a.m.