Triple

T11060101
Position Surface form Disambiguated ID Type / Status
Subject QGIS E261485 entity
Predicate hasComponent P35 FINISHED
Object QGIS Server
QGIS Server is a server-side application that renders and serves maps and geospatial data over the web using QGIS project files and styling.
E902849 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: QGIS Server | Statement: [QGIS, hasComponent, QGIS Server]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QGIS Server
Context triple: [QGIS, hasComponent, QGIS Server]
  • A. GeoServer
    GeoServer is an open-source server application that allows users to share, process, and edit geospatial data using open standards such as WMS, WFS, and WCS.
  • B. QGIS
    QGIS is a free, open-source geographic information system application used for viewing, editing, and analyzing geospatial data across multiple platforms.
  • C. ArcGIS Server
    ArcGIS Server is an enterprise GIS platform by Esri that publishes, manages, and serves spatial data and map services over the web for use in applications and workflows.
  • D. Mapnik
    Mapnik is an open-source toolkit for rendering high-quality maps, widely used as the core map drawing engine behind OpenStreetMap and other mapping applications.
  • E. MapServer
    MapServer is an open-source platform for publishing spatial data and interactive mapping applications on the web.
  • 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: QGIS Server
Triple: [QGIS, hasComponent, QGIS Server]
Generated description
QGIS Server is a server-side application that renders and serves maps and geospatial data over the web using QGIS project files and styling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: QGIS Server
Target entity description: QGIS Server is a server-side application that renders and serves maps and geospatial data over the web using QGIS project files and styling.
  • A. GeoServer
    GeoServer is an open-source server application that allows users to share, process, and edit geospatial data using open standards such as WMS, WFS, and WCS.
  • B. QGIS
    QGIS is a free, open-source geographic information system application used for viewing, editing, and analyzing geospatial data across multiple platforms.
  • C. ArcGIS Server
    ArcGIS Server is an enterprise GIS platform by Esri that publishes, manages, and serves spatial data and map services over the web for use in applications and workflows.
  • D. Mapnik
    Mapnik is an open-source toolkit for rendering high-quality maps, widely used as the core map drawing engine behind OpenStreetMap and other mapping applications.
  • E. MapServer
    MapServer is an open-source platform for publishing spatial data and interactive mapping applications on the web.
  • 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_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.
Created at: April 8, 2026, 9:26 p.m.