Triple
T17561140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MapServer |
E427696
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | OSGeo project |
—
|
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: OSGeo project | Statement: [MapServer, affiliation, OSGeo project]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSGeo project Context triple: [MapServer, affiliation, OSGeo project]
-
A.
Open Source Geospatial Foundation
chosen
The Open Source Geospatial Foundation (OSGeo) is a nonprofit organization that supports and promotes open-source geospatial software, data, and education worldwide.
-
B.
GeoTools
GeoTools is an open-source Java GIS toolkit that provides tools and APIs for geospatial data access, processing, and visualization.
-
C.
Open Geospatial Consortium
The Open Geospatial Consortium is an international industry consortium that develops open standards for geospatial and location-based services and data interoperability.
-
D.
GRASS GIS
GRASS GIS is an open-source geographic information system software suite used for geospatial data management, analysis, and visualization.
-
E.
QGIS
QGIS is a free, open-source geographic information system application used for viewing, editing, and analyzing geospatial data across multiple platforms.
- 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.