Triple

T11060130
Position Surface form Disambiguated ID Type / Status
Subject QGIS E261485 entity
Predicate supportsRasterFormat P97572 FINISHED
Object GeoTIFF E902846 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: GeoTIFF | Statement: [QGIS, supportsRasterFormat, GeoTIFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GeoTIFF
Context triple: [QGIS, supportsRasterFormat, GeoTIFF]
  • A. GeoTIFF chosen
    GeoTIFF is a geospatial image file format that embeds geographic metadata (such as coordinate system and projection) directly into standard TIFF raster data for use in GIS applications.
  • B. TIF
    TIF is a major annual international trade fair held in Thessaloniki, Greece, showcasing products, services, and innovations from domestic and global exhibitors.
  • C. TIF
    TIF is the former New York Stock Exchange ticker symbol for Tiffany & Co., the luxury jewelry and specialty retailer.
  • D. TIF
    TIF is the IATA airport code for Taif Regional Airport, which serves the city of Taif in Saudi Arabia.
  • E. MrSID
    MrSID is a proprietary wavelet-based image compression format commonly used for efficiently storing and distributing large geospatial raster datasets such as aerial and satellite imagery.
  • 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: supportsRasterFormat
Context triple: [QGIS, supportsRasterFormat, GeoTIFF]
  • A. supportsRasterization
    Indicates that one entity provides the capability or functionality for another entity to perform rasterization operations.
  • B. supportsJPEG
    Indicates that one entity is capable of handling, displaying, or processing JPEG image files for another entity or in a given context.
  • C. supportsDiskImageFormat
    Indicates that one entity is capable of handling, using, or being compatible with a specified disk image format.
  • D. supportsHEIF
    Indicates that one entity provides compatibility with or the ability to handle HEIF (High Efficiency Image File) format for another entity.
  • 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. 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798e991848190b07c2f48dae38681 completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e75b90ec8190b1a799e0183c6784 completed April 18, 2026, 8:19 p.m.
PD Predicate disambiguation batch_69d74411d9e881908c0eeafa0f38e4b6 completed April 9, 2026, 6:15 a.m.
PDg Predicate description generation batch_69d750c99f9881908ee2b01b6ce4b3a1 completed April 9, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:26 p.m.