Triple

T4599959
Position Surface form Disambiguated ID Type / Status
Subject Python scientific stack E100298 entity
Predicate hasComponent P35 FINISHED
Object PyTables
PyTables is a Python library that provides efficient management, querying, and storage of large amounts of data using the HDF5 format.
 E459726 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: PyTables | Statement: [Python scientific stack, hasComponent, PyTables]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PyTables
Context triple: [Python scientific stack, hasComponent, PyTables]
  • A. Tabularium
    The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
  • B. HDF
    HDF is the acronym for the Hungarian Defence Forces, the unified military organization responsible for Hungary’s national defense and participation in international security operations.
  • C. 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.
  • D. pandas
    pandas is a popular open-source Python library that provides powerful, easy-to-use data structures and tools for data analysis and manipulation.
  • E. NumPy
    NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.
  • 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: PyTables
Triple: [Python scientific stack, hasComponent, PyTables]
Generated description
PyTables is a Python library that provides efficient management, querying, and storage of large amounts of data using the HDF5 format.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PyTables
Target entity description: PyTables is a Python library that provides efficient management, querying, and storage of large amounts of data using the HDF5 format.
  • A. Tabularium
    The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
  • B. HDF
    HDF is the acronym for the Hungarian Defence Forces, the unified military organization responsible for Hungary’s national defense and participation in international security operations.
  • C. 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.
  • D. pandas
    pandas is a popular open-source Python library that provides powerful, easy-to-use data structures and tools for data analysis and manipulation.
  • E. NumPy
    NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.
  • F. None of above. chosen

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_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_69bdfa54bb0c819081265a6d159ad790 completed March 21, 2026, 1:54 a.m.
NEDg Description generation batch_69bdfb37b1448190a4001b9ed2b79012 completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc0e456c81908efa3858d981ccc0 completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:11 p.m.