Triple
T8377124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSMC Vienna (volcanic ash advisory centre) |
E197603
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object |
Zentralanstalt für Meteorologie und Geodynamik
The Zentralanstalt für Meteorologie und Geodynamik is Austria’s national meteorological and geophysical service, responsible for weather forecasting, climate monitoring, and related scientific research.
|
E729766
|
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: Zentralanstalt für Meteorologie und Geodynamik | Statement: [RSMC Vienna (volcanic ash advisory centre), operatedBy, Zentralanstalt für Meteorologie und Geodynamik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zentralanstalt für Meteorologie und Geodynamik Context triple: [RSMC Vienna (volcanic ash advisory centre), operatedBy, Zentralanstalt für Meteorologie und Geodynamik]
-
A.
National Meteorological and Hydrological Services
National Meteorological and Hydrological Services are national agencies responsible for monitoring, forecasting, and providing information on weather, climate, and water resources to support public safety, economic activities, and environmental management.
-
B.
Max Planck Institute for Meteorology
The Max Planck Institute for Meteorology is a leading German research institute focused on understanding the Earth’s climate system through advanced atmospheric and climate modeling.
-
C.
European Centre for Medium-Range Weather Forecasts
The European Centre for Medium-Range Weather Forecasts is an independent intergovernmental organization that provides global numerical weather predictions and climate data to support meteorological services and research worldwide.
-
D.
German Research Centre for Geosciences
The German Research Centre for Geosciences is a leading German institution dedicated to researching the Earth’s system, including geology, geophysics, and related environmental processes.
-
E.
World Meteorological Centres
World Meteorological Centres are major global hubs designated by the World Meteorological Organization to provide high-quality weather analyses, forecasts, and related data services to support international meteorological operations.
- 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: Zentralanstalt für Meteorologie und Geodynamik Triple: [RSMC Vienna (volcanic ash advisory centre), operatedBy, Zentralanstalt für Meteorologie und Geodynamik]
Generated description
The Zentralanstalt für Meteorologie und Geodynamik is Austria’s national meteorological and geophysical service, responsible for weather forecasting, climate monitoring, and related scientific research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zentralanstalt für Meteorologie und Geodynamik Target entity description: The Zentralanstalt für Meteorologie und Geodynamik is Austria’s national meteorological and geophysical service, responsible for weather forecasting, climate monitoring, and related scientific research.
-
A.
National Meteorological and Hydrological Services
National Meteorological and Hydrological Services are national agencies responsible for monitoring, forecasting, and providing information on weather, climate, and water resources to support public safety, economic activities, and environmental management.
-
B.
Max Planck Institute for Meteorology
The Max Planck Institute for Meteorology is a leading German research institute focused on understanding the Earth’s climate system through advanced atmospheric and climate modeling.
-
C.
European Centre for Medium-Range Weather Forecasts
The European Centre for Medium-Range Weather Forecasts is an independent intergovernmental organization that provides global numerical weather predictions and climate data to support meteorological services and research worldwide.
-
D.
German Research Centre for Geosciences
The German Research Centre for Geosciences is a leading German institution dedicated to researching the Earth’s system, including geology, geophysics, and related environmental processes.
-
E.
World Meteorological Centres
World Meteorological Centres are major global hubs designated by the World Meteorological Organization to provide high-quality weather analyses, forecasts, and related data services to support international meteorological operations.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c094908190afe9cc54ce4f4d58 |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7f19ba08190a08cf5aea522c021 |
completed | April 2, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69cdebf944008190b7e758ac59257e22 |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdeccedf4081909cab853ee1ff1b82 |
completed | April 2, 2026, 4:13 a.m. |
Created at: March 30, 2026, 6:02 p.m.