Triple
T17560976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GeoJSON |
E427694
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | GDAL |
—
|
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: GDAL | Statement: [GeoJSON, compatibleWith, GDAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GDAL Context triple: [GeoJSON, compatibleWith, GDAL]
-
A.
GDAL
chosen
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.
-
B.
QGIS
QGIS is a free, open-source geographic information system application used for viewing, editing, and analyzing geospatial data across multiple platforms.
-
C.
GEOS
GEOS is an open-source C++ geometry engine library that provides spatial operations and topological functions for geographic information systems and related applications.
-
D.
GeoTIFF
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.
-
E.
SpatiaLite
SpatiaLite is an open-source spatial extension to the SQLite database engine that adds support for storing and querying geospatial data.
- 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.