Triple

T14095399
Position Surface form Disambiguated ID Type / Status
Subject European Centre for Medium-Range Weather Forecasts E339239 entity
Predicate operates P24 FINISHED
Object Integrated Forecasting System
The Integrated Forecasting System is the European Centre for Medium-Range Weather Forecasts’ advanced global numerical weather prediction model used to produce medium- and long-range weather forecasts.
E1079388 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: Integrated Forecasting System | Statement: [European Centre for Medium-Range Weather Forecasts, operates, Integrated Forecasting System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Integrated Forecasting System
Context triple: [European Centre for Medium-Range Weather Forecasts, operates, Integrated Forecasting System]
  • A. 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.
  • B. 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.
  • C. Global Modeling and Assimilation Office
    The Global Modeling and Assimilation Office is a NASA research organization that develops and operates advanced Earth system models and data assimilation systems to support weather, climate, and atmospheric research and forecasting.
  • D. Great Lakes Coastal Forecasting System data
    Great Lakes Coastal Forecasting System data consists of numerical model outputs and observations that provide detailed forecasts and analyses of water levels, waves, currents, and related coastal conditions across the Great Lakes.
  • E. Goddard Earth Observing System models
    The Goddard Earth Observing System models are a suite of advanced atmospheric and Earth system models used for global weather, climate, and data assimilation research and forecasting.
  • 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: Integrated Forecasting System
Triple: [European Centre for Medium-Range Weather Forecasts, operates, Integrated Forecasting System]
Generated description
The Integrated Forecasting System is the European Centre for Medium-Range Weather Forecasts’ advanced global numerical weather prediction model used to produce medium- and long-range weather forecasts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Integrated Forecasting System
Target entity description: The Integrated Forecasting System is the European Centre for Medium-Range Weather Forecasts’ advanced global numerical weather prediction model used to produce medium- and long-range weather forecasts.
  • A. 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.
  • B. 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.
  • C. Global Modeling and Assimilation Office
    The Global Modeling and Assimilation Office is a NASA research organization that develops and operates advanced Earth system models and data assimilation systems to support weather, climate, and atmospheric research and forecasting.
  • D. Great Lakes Coastal Forecasting System data
    Great Lakes Coastal Forecasting System data consists of numerical model outputs and observations that provide detailed forecasts and analyses of water levels, waves, currents, and related coastal conditions across the Great Lakes.
  • E. Goddard Earth Observing System models
    The Goddard Earth Observing System models are a suite of advanced atmospheric and Earth system models used for global weather, climate, and data assimilation research and forecasting.
  • 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.