Triple

T4389237
Position Surface form Disambiguated ID Type / Status
Subject Hugging Face Transformers E99320 entity
Predicate ecosystemPartOf P19967 FINISHED
Object Hugging Face Hub E435862 NE FINISHED

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: [Hugging Face Transformers, ecosystemPartOf, Hugging Face Hub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugging Face Hub
Context triple: [Hugging Face Transformers, ecosystemPartOf, 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: ecosystemPartOf
Context triple: [Hugging Face Transformers, ecosystemPartOf, Hugging Face Hub]
  • A. partOfEcosystem chosen
    Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
  • B. ecoregion
    Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
  • C. ecoregionsInclude
    Indicates that one ecoregion spatially contains or encompasses another ecoregion or area within its boundaries.
  • D. containsEcosystem
    Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
  • E. isEcologicalZone
    Indicates that one entity functions as, or is classified as, an ecological zone in relation to another entity.
  • F. None of above.

Provenance (4 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35281900c8190882e9ccfa44ab86f completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5e74ba481908876629c811d934f completed March 14, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69b34f572efc8190bad1e5078cbcb75a completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:19 p.m.