Triple

T3763668
Position Surface form Disambiguated ID Type / Status
Subject Biological and Environmental Research program E82619 entity
Predicate hasSubprogram P17453 FINISHED
Object Regional and Global Model Analysis
Regional and Global Model Analysis is a research subprogram focused on developing and applying advanced climate and Earth system models to understand environmental processes and project future regional and global changes.
E88904 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: Regional and Global Model Analysis | Statement: [Biological and Environmental Research program, hasSubprogram, Regional and Global Model Analysis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regional and Global Model Analysis
Context triple: [Biological and Environmental Research program, hasSubprogram, Regional and Global Model Analysis]
  • 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. 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.
  • C. 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.
  • D. Real-time Multivariate MJO index
    The Real-time Multivariate MJO index is a widely used diagnostic tool that quantifies the strength and phase of the Madden–Julian Oscillation using combined atmospheric and oceanic variables.
  • E. Global Framework for Climate Services
    The Global Framework for Climate Services is a United Nations-led initiative that coordinates the production and use of climate information to support decision-making in areas such as agriculture, water management, health, and disaster risk reduction worldwide.
  • 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: Regional and Global Model Analysis
Triple: [Biological and Environmental Research program, hasSubprogram, Regional and Global Model Analysis]
Generated description
Regional and Global Model Analysis is a research subprogram focused on developing and applying advanced climate and Earth system models to understand environmental processes and project future regional and global changes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Regional and Global Model Analysis
Target entity description: Regional and Global Model Analysis is a research subprogram focused on developing and applying advanced climate and Earth system models to understand environmental processes and project future regional and global changes.
  • 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. Goddard Earth Observing System models chosen
    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.
  • C. 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.
  • D. Real-time Multivariate MJO index
    The Real-time Multivariate MJO index is a widely used diagnostic tool that quantifies the strength and phase of the Madden–Julian Oscillation using combined atmospheric and oceanic variables.
  • E. Global Framework for Climate Services
    The Global Framework for Climate Services is a United Nations-led initiative that coordinates the production and use of climate information to support decision-making in areas such as agriculture, water management, health, and disaster risk reduction worldwide.
  • F. None of above.

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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfbecf8819099d80af480cbe2d2 completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e51e54108190ab60e189cfbb0db0 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e6a49ffc81908d6322b1ca6f6327 completed March 14, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69b4e7311cc4819098926b36b94cae96 completed March 14, 2026, 4:42 a.m.
Created at: March 8, 2026, 3:35 p.m.