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.