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.