Triple

T816500
Position Surface form Disambiguated ID Type / Status
Subject scikit-learn E17661 entity
Predicate hasConcept P531 FINISHED
Object FeatureUnion
FeatureUnion is a scikit-learn tool that combines multiple feature extraction or transformation pipelines into a single, parallelized transformer for use in machine learning workflows.
E17661 NE FINISHED

How this triple was built (4 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: FeatureUnion | Statement: [scikit-learn, hasConcept, FeatureUnion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FeatureUnion
Context triple: [scikit-learn, hasConcept, FeatureUnion]
  • A. scikit-learn
    scikit-learn is a widely used open-source Python library that provides efficient tools for data mining, data analysis, and implementing a broad range of machine learning algorithms.
  • B. Progressive Field
    Progressive Field is a Major League Baseball stadium in downtown Cleveland, Ohio, serving as the home ballpark of the Cleveland Guardians.
  • C. CLIP
    CLIP is an OpenAI model that learns joint representations of images and text, enabling tasks like zero-shot image classification and natural language-based image retrieval.
  • D. Element AI
    Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
  • E. UDC Consortium
    The UDC Consortium is the international organization responsible for maintaining, updating, and promoting the Universal Decimal Classification system used in libraries and information services worldwide.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FeatureUnion
Triple: [scikit-learn, hasConcept, FeatureUnion]
Generated description
FeatureUnion is a scikit-learn tool that combines multiple feature extraction or transformation pipelines into a single, parallelized transformer for use in machine learning workflows.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FeatureUnion
Target entity description: FeatureUnion is a scikit-learn tool that combines multiple feature extraction or transformation pipelines into a single, parallelized transformer for use in machine learning workflows.
  • A. scikit-learn chosen
    scikit-learn is a widely used open-source Python library that provides efficient tools for data mining, data analysis, and implementing a broad range of machine learning algorithms.
  • B. Progressive Field
    Progressive Field is a Major League Baseball stadium in downtown Cleveland, Ohio, serving as the home ballpark of the Cleveland Guardians.
  • C. CLIP
    CLIP is an OpenAI model that learns joint representations of images and text, enabling tasks like zero-shot image classification and natural language-based image retrieval.
  • D. Element AI
    Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
  • E. UDC Consortium
    The UDC Consortium is the international organization responsible for maintaining, updating, and promoting the Universal Decimal Classification system used in libraries and information services worldwide.
  • F. None of above.

Provenance (5 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab621d2c819083f10bff4f66c482 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8d1a448190be8494fa2776615a completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a78bd0a1d48190907434a17853dfb1 completed March 4, 2026, 1:33 a.m.
NED2 Entity disambiguation (via description) batch_69a78c3a57d88190a994ed44bcb2d8d1 completed March 4, 2026, 1:34 a.m.
Created at: March 1, 2026, 7:38 p.m.