Triple
T14095400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Centre for Medium-Range Weather Forecasts |
E339239
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
ECMWF Ensemble Prediction System
The ECMWF Ensemble Prediction System is a global numerical weather prediction framework that runs multiple forecast simulations to quantify atmospheric uncertainty and provide probabilistic weather guidance.
|
E1079389
|
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: ECMWF Ensemble Prediction System | Statement: [European Centre for Medium-Range Weather Forecasts, operates, ECMWF Ensemble Prediction System]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECMWF Ensemble Prediction System Context triple: [European Centre for Medium-Range Weather Forecasts, operates, ECMWF Ensemble Prediction System]
-
A.
Numerical prediction of cyclogenesis
"Numerical prediction of cyclogenesis" is a pioneering scientific work by Jule Gregory Charney that applied early computer-based numerical methods to forecast the formation and development of cyclones in the atmosphere.
-
B.
Global Data-processing and Forecasting System
The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
-
C.
Global Producing Centres for Long-Range Forecasts
Global Producing Centres for Long-Range Forecasts are specialized meteorological institutions designated by the World Meteorological Organization to generate and provide operational long-range and seasonal climate predictions for use worldwide.
-
D.
MERRA reanalysis system
The MERRA reanalysis system is a NASA atmospheric reanalysis project that uses the Goddard Earth Observing System models to produce a long-term, consistent record of global weather and climate data.
-
E.
Bergen school of meteorology cyclone model
The Bergen school of meteorology cyclone model is an early 20th-century conceptual framework that explains the life cycle and structure of mid-latitude cyclones using air mass contrasts and frontal systems.
- 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: ECMWF Ensemble Prediction System Triple: [European Centre for Medium-Range Weather Forecasts, operates, ECMWF Ensemble Prediction System]
Generated description
The ECMWF Ensemble Prediction System is a global numerical weather prediction framework that runs multiple forecast simulations to quantify atmospheric uncertainty and provide probabilistic weather guidance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ECMWF Ensemble Prediction System Target entity description: The ECMWF Ensemble Prediction System is a global numerical weather prediction framework that runs multiple forecast simulations to quantify atmospheric uncertainty and provide probabilistic weather guidance.
-
A.
Numerical prediction of cyclogenesis
"Numerical prediction of cyclogenesis" is a pioneering scientific work by Jule Gregory Charney that applied early computer-based numerical methods to forecast the formation and development of cyclones in the atmosphere.
-
B.
Global Data-processing and Forecasting System
The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
-
C.
Global Producing Centres for Long-Range Forecasts
Global Producing Centres for Long-Range Forecasts are specialized meteorological institutions designated by the World Meteorological Organization to generate and provide operational long-range and seasonal climate predictions for use worldwide.
-
D.
MERRA reanalysis system
The MERRA reanalysis system is a NASA atmospheric reanalysis project that uses the Goddard Earth Observing System models to produce a long-term, consistent record of global weather and climate data.
-
E.
Bergen school of meteorology cyclone model
The Bergen school of meteorology cyclone model is an early 20th-century conceptual framework that explains the life cycle and structure of mid-latitude cyclones using air mass contrasts and frontal systems.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb7fb3c819083266dbe7e93aaff |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0ac02488190b2114eb63ec604c3 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd21a2a408190ab335e99fcbbd9ae |
completed | May 7, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd2e1b2ec81909caab1bfc6394258 |
completed | May 7, 2026, 5:58 p.m. |
Created at: April 9, 2026, 10:22 p.m.