Triple

T17561121
Position Surface form Disambiguated ID Type / Status
Subject MapServer E427696 entity
Predicate usesLibrary P4791 FINISHED
Object GDAL NE NERFINISHED

How this triple was built (2 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: GDAL | Statement: [MapServer, usesLibrary, GDAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GDAL
Context triple: [MapServer, usesLibrary, GDAL]
  • A. GDAL chosen
    GDAL is an open-source geospatial data abstraction library widely used for reading, writing, and transforming a broad range of raster and vector geographic data formats.
  • B. QGIS
    QGIS is a free, open-source geographic information system application used for viewing, editing, and analyzing geospatial data across multiple platforms.
  • C. GRASS GIS
    GRASS GIS is an open-source geographic information system software suite used for geospatial data management, analysis, and visualization.
  • D. GeoTools
    GeoTools is an open-source Java GIS toolkit that provides tools and APIs for geospatial data access, processing, and visualization.
  • E. GEOS
    GEOS is an open-source C++ geometry engine library that provides spatial operations and topological functions for geographic information systems and related applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456267e208190a1238fbe1a535bb0 completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.