Triple

T5449898
Position Surface form Disambiguated ID Type / Status
Subject Bjerknes circulation theorem E122342 entity
Predicate foundationFor P1450 FINISHED
Object 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.
E521729 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: Bergen school of meteorology cyclone model | Statement: [Bjerknes circulation theorem, foundationFor, Bergen school of meteorology cyclone model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergen school of meteorology cyclone model
Context triple: [Bjerknes circulation theorem, foundationFor, Bergen school of meteorology cyclone model]
  • A. Manabe–Wetherald climate model
    The Manabe–Wetherald climate model is a pioneering one-dimensional radiative–convective model that first quantified how increasing atmospheric carbon dioxide affects Earth’s temperature and vertical temperature profile.
  • B. National Meteorological Telecommunication Networks
    National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
  • C. Rossby waves
    Rossby waves are large-scale atmospheric and oceanic waves driven by Earth's rotation and the variation of the Coriolis effect with latitude, playing a key role in shaping global weather and climate patterns.
  • D. Bjerknes circulation theorem (applications in meteorology)
    The Bjerknes circulation theorem is a fundamental principle in meteorology that relates changes in atmospheric circulation to forces such as pressure gradients and heating, forming a basis for understanding large-scale weather systems and cyclogenesis.
  • 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: Bergen school of meteorology cyclone model
Triple: [Bjerknes circulation theorem, foundationFor, Bergen school of meteorology cyclone model]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bergen school of meteorology cyclone model
Target entity description: 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.
  • A. Manabe–Wetherald climate model
    The Manabe–Wetherald climate model is a pioneering one-dimensional radiative–convective model that first quantified how increasing atmospheric carbon dioxide affects Earth’s temperature and vertical temperature profile.
  • B. National Meteorological Telecommunication Networks
    National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
  • C. Rossby waves
    Rossby waves are large-scale atmospheric and oceanic waves driven by Earth's rotation and the variation of the Coriolis effect with latitude, playing a key role in shaping global weather and climate patterns.
  • D. Bjerknes circulation theorem (applications in meteorology)
    The Bjerknes circulation theorem is a fundamental principle in meteorology that relates changes in atmospheric circulation to forces such as pressure gradients and heating, forming a basis for understanding large-scale weather systems and cyclogenesis.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91dd747c81909892d6a9742d5fc6 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf413ab9d08190a00f007fbf0eb710 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf44f9191c81909d415021021a8bf0 completed March 22, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_69bf456f94e881908f69f5073c48987f completed March 22, 2026, 1:27 a.m.
Created at: March 20, 2026, 2:07 p.m.