Triple

T3918596
Position Surface form Disambiguated ID Type / Status
Subject Goddard Earth Observing System models E88904 entity
Predicate developedBy P73 FINISHED
Object 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.
E399057 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: Global Modeling and Assimilation Office | Statement: [Goddard Earth Observing System models, developedBy, Global Modeling and Assimilation Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Global Modeling and Assimilation Office
Context triple: [Goddard Earth Observing System models, developedBy, Global Modeling and Assimilation Office]
  • A. National Centers for Environmental Prediction
    The National Centers for Environmental Prediction is a major U.S. government organization that provides national and global weather, climate, and environmental forecasts and analyses.
  • B. Atmospheric System Research
    Atmospheric System Research is a U.S. Department of Energy subprogram that investigates atmospheric processes and cloud–aerosol interactions to improve climate and Earth system models.
  • C. Office of Forecasting, Research and Analysis
    The Office of Forecasting, Research and Analysis is a unit within the Oregon Department of Human Services that provides data-driven forecasts, research, and analytical support to guide human services planning and policy decisions in the state.
  • D. Geophysical Fluid Dynamics Laboratory
    The Geophysical Fluid Dynamics Laboratory is a leading U.S. research institution specializing in climate modeling and the study of atmospheric and oceanic dynamics.
  • E. 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.
  • 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: Global Modeling and Assimilation Office
Triple: [Goddard Earth Observing System models, developedBy, Global Modeling and Assimilation Office]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Global Modeling and Assimilation Office
Target entity description: 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.
  • A. National Centers for Environmental Prediction
    The National Centers for Environmental Prediction is a major U.S. government organization that provides national and global weather, climate, and environmental forecasts and analyses.
  • B. Atmospheric System Research
    Atmospheric System Research is a U.S. Department of Energy subprogram that investigates atmospheric processes and cloud–aerosol interactions to improve climate and Earth system models.
  • C. Office of Forecasting, Research and Analysis
    The Office of Forecasting, Research and Analysis is a unit within the Oregon Department of Human Services that provides data-driven forecasts, research, and analytical support to guide human services planning and policy decisions in the state.
  • D. Geophysical Fluid Dynamics Laboratory
    The Geophysical Fluid Dynamics Laboratory is a leading U.S. research institution specializing in climate modeling and the study of atmospheric and oceanic dynamics.
  • E. 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.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed59485c819095c58edd053e3401 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5286830d08190bd6e583360136342 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b5293b41748190929665970712707a completed March 14, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69b529e9080481908ff0ec30b295cfc3 completed March 14, 2026, 9:27 a.m.
Created at: March 9, 2026, 3:22 p.m.