Triple

T18799381
Position Surface form Disambiguated ID Type / Status
Subject xarray E459722 entity
Predicate supportsIOFormat P8463 FINISHED
Object NetCDF NE NERFINISHED

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: NetCDF | Statement: [xarray, supportsIOFormat, NetCDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NetCDF
Context triple: [xarray, supportsIOFormat, NetCDF]
  • A. NetCDF chosen
    NetCDF is a widely used, self-describing, machine-independent data format and set of software libraries designed for storing and sharing array-oriented scientific data, especially in the geosciences.
  • B. NCL
    NCL is the three-letter National Rail station code for Newcastle railway station, a major rail hub in Newcastle upon Tyne, England.
  • C. NCL
    NCL is the IATA airport code for Newcastle International Airport, a major airport serving Newcastle upon Tyne and the surrounding region in northeast England.
  • D. NCL
    NCL is the commonly used abbreviation for the Nice Classification, an international system for categorizing goods and services for trademark registration.
  • E. h5netcdf
    h5netcdf is a Python library that provides a NetCDF4-like interface for reading and writing data stored in HDF5 files.
  • 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: supportsIOFormat
Context triple: [xarray, supportsIOFormat, NetCDF]
  • A. operatesInFormat
    Indicates that an entity functions, performs its role, or is carried out using a specified format.
  • B. supportsRowFormat
    Indicates that one entity provides compatibility with or can correctly handle the specified row format of another entity.
  • C. canImportFormat chosen
    Indicates that an entity has the capability to import or read data in a specified format.
  • D. supportsTextFormat
    Indicates that one entity is capable of handling, rendering, or otherwise working with a specified text format.
  • E. supportsBackupFormat
    Indicates that one entity is capable of handling, storing, or operating with another entity as a backup data format.
  • F. None of above.

Provenance (3 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a02273b481909bc250144a0ace32 completed April 20, 2026, 3:40 a.m.
PD Predicate disambiguation batch_69e48d16dd34819096e096d0c0e4c15c completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:53 a.m.