Triple

T11060136
Position Surface form Disambiguated ID Type / Status
Subject QGIS E261485 entity
Predicate supportsVectorFormat P97573 FINISHED
Object ESRI Shapefile
ESRI Shapefile is a widely used geospatial vector data format for geographic information system (GIS) software, commonly employed to store and exchange map features and their associated attributes.
E902852 NE FINISHED

How this triple was built (5 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: ESRI Shapefile | Statement: [QGIS, supportsVectorFormat, ESRI Shapefile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESRI Shapefile
Context triple: [QGIS, supportsVectorFormat, ESRI Shapefile]
  • A. GeoJSON
    GeoJSON is a widely used JSON-based format for encoding a variety of geographic data structures, including points, lines, polygons, and their associated attributes.
  • B. WKT
    WKT (Well-Known Text) is a text-based markup language used to represent vector geometry objects such as points, lines, and polygons in geographic information systems.
  • C. GeoPackage
    GeoPackage is an open, platform-independent, SQLite-based format for storing and exchanging geospatial data such as vector features, tile matrices, and metadata in a single file.
  • D. MDA Geospatial Services
    MDA Geospatial Services is a Canadian company specializing in satellite imagery and geospatial information solutions, providing data and analytics for applications such as environmental monitoring, defense, and resource management.
  • E. GIS
    The Egyptian General Intelligence Service (GIS) is Egypt’s primary intelligence agency responsible for foreign intelligence gathering, national security, and covert operations.
  • 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: ESRI Shapefile
Triple: [QGIS, supportsVectorFormat, ESRI Shapefile]
Generated description
ESRI Shapefile is a widely used geospatial vector data format for geographic information system (GIS) software, commonly employed to store and exchange map features and their associated attributes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ESRI Shapefile
Target entity description: ESRI Shapefile is a widely used geospatial vector data format for geographic information system (GIS) software, commonly employed to store and exchange map features and their associated attributes.
  • A. GeoJSON
    GeoJSON is a widely used JSON-based format for encoding a variety of geographic data structures, including points, lines, polygons, and their associated attributes.
  • B. WKT
    WKT (Well-Known Text) is a text-based markup language used to represent vector geometry objects such as points, lines, and polygons in geographic information systems.
  • C. GeoPackage
    GeoPackage is an open, platform-independent, SQLite-based format for storing and exchanging geospatial data such as vector features, tile matrices, and metadata in a single file.
  • D. MDA Geospatial Services
    MDA Geospatial Services is a Canadian company specializing in satellite imagery and geospatial information solutions, providing data and analytics for applications such as environmental monitoring, defense, and resource management.
  • E. GIS
    GIS (Gruppo di Intervento Speciale) is an elite special operations unit of the Italian Carabinieri focused on counter-terrorism, hostage rescue, and high-risk law enforcement missions.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsVectorFormat
Context triple: [QGIS, supportsVectorFormat, ESRI Shapefile]
  • A. supportsTextFormat
    Indicates that one entity is capable of handling, rendering, or otherwise working with a specified text format.
  • B. supportsBackupFormat
    Indicates that one entity is capable of handling, storing, or operating with another entity as a backup data format.
  • C. operatesInFormat
    Indicates that an entity functions, performs its role, or is carried out using a specified format.
  • D. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • E. supportsRasterization
    Indicates that one entity provides the capability or functionality for another entity to perform rasterization operations.
  • F. None of above. chosen

Provenance (7 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_69e3c87ab0308190a6a6ada1708f0ec2 completed April 18, 2026, 6:07 p.m.
NEDg Description generation batch_69e3cefc00148190a1850dc6e31523c3 completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d014a644819092c76aa02b573ca9 completed April 18, 2026, 6:40 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.