Triple

T4277045
Position Surface form Disambiguated ID Type / Status
Subject GridSearchCV E97067 entity
Predicate introducedInLibrary P29731 FINISHED
Object scikit-learn 0.16 or earlier E17661 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: scikit-learn 0.16 or earlier | Statement: [GridSearchCV, introducedInLibrary, scikit-learn 0.16 or earlier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: scikit-learn 0.16 or earlier
Context triple: [GridSearchCV, introducedInLibrary, scikit-learn 0.16 or earlier]
  • 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. LogisticRegression
    LogisticRegression is a scikit-learn machine learning estimator that models the probability of class membership using a linear decision boundary with logistic (sigmoid) or related link functions.
  • C. Theano
    Theano is an open-source numerical computation library for Python that allows efficient definition, optimization, and evaluation of mathematical expressions, particularly those involving multi-dimensional arrays, and was widely used as a backend for deep learning frameworks.
  • D. Apache Mahout
    Apache Mahout is an open-source machine learning library designed to build scalable algorithms for clustering, classification, and recommendation on large datasets, often leveraging big data platforms.
  • E. SciPy
    SciPy is an open-source Python library that provides advanced scientific and technical computing tools, including modules for optimization, integration, statistics, signal processing, and linear algebra.
  • 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: introducedInLibrary
Context triple: [GridSearchCV, introducedInLibrary, scikit-learn 0.16 or earlier]
  • A. introducedInSystem
    Indicates that an entity was first added, implemented, or made available within a particular system.
  • B. introducedInProduct chosen
    Indicates that something (such as a feature, component, or concept) first appeared or was initially made available within a particular product.
  • C. introducedFor
    Indicates that one entity was presented or brought to the attention of another entity for a specific purpose or role.
  • D. introducedInYear
    Indicates the year in which something was first introduced, launched, or made available.
  • E. introducedVia
    Indicates that one entity was brought to the attention, presence, or awareness of another entity through a specific intermediary, method, or channel.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501ef1388190b0c968b069014a59 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b3b52c8190ae7c05448faf5558 completed March 14, 2026, 7:32 p.m.
PD Predicate disambiguation batch_69b347faa45481908c19c29fb906dc92 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:07 p.m.