Triple
T18799342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xarray |
E459722
|
entity |
| Predicate | supportsBackend |
P15794
|
FINISHED |
| Object |
rasterio
rasterio is a Python library that provides fast, Pythonic access to geospatial raster data built on top of GDAL.
|
E1342436
|
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: rasterio | Statement: [xarray, supportsBackend, rasterio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: rasterio Context triple: [xarray, supportsBackend, rasterio]
-
A.
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.
-
B.
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.
-
C.
QGIS
QGIS is a free, open-source geographic information system application used for viewing, editing, and analyzing geospatial data across multiple platforms.
-
D.
gdal_translate
gdal_translate is a GDAL command-line utility used to convert raster data between formats and perform operations like subsetting, resampling, and data type conversion.
-
E.
GRASS GIS
GRASS GIS is an open-source geographic information system software suite used for geospatial data management, analysis, and visualization.
- 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: rasterio Triple: [xarray, supportsBackend, rasterio]
Generated description
rasterio is a Python library that provides fast, Pythonic access to geospatial raster data built on top of GDAL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: rasterio Target entity description: rasterio is a Python library that provides fast, Pythonic access to geospatial raster data built on top of GDAL.
-
A.
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.
-
B.
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.
-
C.
QGIS
QGIS is a free, open-source geographic information system application used for viewing, editing, and analyzing geospatial data across multiple platforms.
-
D.
gdal_translate
gdal_translate is a GDAL command-line utility used to convert raster data between formats and perform operations like subsetting, resampling, and data type conversion.
-
E.
GRASS GIS
GRASS GIS is an open-source geographic information system software suite used for geospatial data management, analysis, and visualization.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02273b481909bc250144a0ace32 |
completed | April 20, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a054723def4819097961a04087a54a3 |
completed | May 14, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a0549358ba081909eb649898d1b3a8a |
completed | May 14, 2026, 4:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0549c825f481909d2da63688b36186 |
completed | May 14, 2026, 4:04 a.m. |
Created at: April 10, 2026, 11:53 a.m.