Triple
T17561190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GDAL |
E427697
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | QGIS |
—
|
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: QGIS | Statement: [GDAL, usedBy, QGIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QGIS Context triple: [GDAL, usedBy, QGIS]
-
A.
QGIS
chosen
QGIS is a free, open-source geographic information system application used for viewing, editing, and analyzing geospatial data across multiple platforms.
-
B.
GRASS GIS
GRASS GIS is an open-source geographic information system software suite used for geospatial data management, analysis, and visualization.
-
C.
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.
-
D.
GDAL
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.
-
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.
- 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.