Triple

T4599966
Position Surface form Disambiguated ID Type / Status
Subject Python scientific stack E100298 entity
Predicate coreDataAnalysisLibrary P7264 FINISHED
Object pandas E17660 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: pandas | Statement: [Python scientific stack, coreDataAnalysisLibrary, pandas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: pandas
Context triple: [Python scientific stack, coreDataAnalysisLibrary, pandas]
  • A. pandas chosen
    pandas is a popular open-source Python library that provides powerful, easy-to-use data structures and tools for data analysis and manipulation.
  • B. Pandas Developers
    Pandas Developers are the community of programmers and contributors who maintain and advance the pandas Python library for data analysis and manipulation.
  • C. Snowpark DataFrame API
    The Snowpark DataFrame API is a developer framework for building and executing scalable, DataFrame-style data transformations and applications directly within the Snowflake data platform.
  • D. Dask
    Dask is an open-source parallel computing library for Python that enables scalable, distributed data processing and analytics using familiar interfaces like NumPy, pandas, and scikit-learn.
  • E. Pythonidae
    Pythonidae is a family of nonvenomous constrictor snakes that includes pythons found across Africa, Asia, and Australia.
  • 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: coreDataAnalysisLibrary
Context triple: [Python scientific stack, coreDataAnalysisLibrary, pandas]
  • A. helpsAnalyze
    Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
  • B. dataScienceLibrary chosen
    Indicates a relationship where a software library is specifically designed for performing data science tasks, such as data processing, analysis, and modeling.
  • C. usedDataAnalytics
    Indicates that an entity applied data analytics techniques or insights in performing an action or making a decision related to another entity.
  • D. analyzes
    Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
  • E. statisticsConsidered
    Indicates that certain statistics are taken into account or used as a basis in a decision, analysis, or evaluation involving the related entities.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5971f448819090f6e76c7d3ffc2d completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0349e89c8190a94e72bdc1e4e59f completed March 21, 2026, 2:32 a.m.
PD Predicate disambiguation batch_69bd522c811c81909aae4feadae33174 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:11 p.m.