Triple
T17561055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GeoServer |
E427695
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | OSGeo |
—
|
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 | Statement: [GeoServer, affiliation, OSGeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSGeo Context triple: [GeoServer, affiliation, OSGeo]
-
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.
OGIS
OGIS is the U.S. federal office that mediates Freedom of Information Act (FOIA) disputes and oversees agency FOIA compliance to improve government transparency.
-
C.
QGIS
QGIS is a free, open-source geographic information system application used for viewing, editing, and analyzing geospatial data across multiple platforms.
-
D.
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.
-
E.
GeoServer
GeoServer is an open-source server application that allows users to share, process, and edit geospatial data using open standards such as WMS, WFS, and WCS.
- 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.