Triple
T3918613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goddard Earth Observing System models |
E88904
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
GEOS data assimilation system
The GEOS data assimilation system is a computational framework that combines observational data with numerical Earth system models to produce accurate, time-evolving analyses of the atmosphere and related components.
|
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: GEOS data assimilation system | Statement: [Goddard Earth Observing System models, hasComponent, GEOS data assimilation system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GEOS data assimilation system Context triple: [Goddard Earth Observing System models, hasComponent, GEOS data assimilation 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.
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.
US GODAE Argo data center
The US GODAE Argo data center is a U.S.-based oceanographic facility that archives, processes, and distributes global Argo float observations for research and operational oceanography.
-
D.
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.
-
E.
Clouds and the Earth’s Radiant Energy System
Clouds and the Earth’s Radiant Energy System (CERES) is a satellite instrument designed to measure the Earth’s radiation budget and study how clouds and aerosols affect the planet’s climate and energy balance.
- 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: GEOS data assimilation system Triple: [Goddard Earth Observing System models, hasComponent, GEOS data assimilation system]
Generated description
The GEOS data assimilation system is a computational framework that combines observational data with numerical Earth system models to produce accurate, time-evolving analyses of the atmosphere and related components.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GEOS data assimilation system Target entity description: The GEOS data assimilation system is a computational framework that combines observational data with numerical Earth system models to produce accurate, time-evolving analyses of the atmosphere and related components.
-
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.
US GODAE Argo data center
The US GODAE Argo data center is a U.S.-based oceanographic facility that archives, processes, and distributes global Argo float observations for research and operational oceanography.
-
D.
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.
-
E.
Clouds and the Earth’s Radiant Energy System
Clouds and the Earth’s Radiant Energy System (CERES) is a satellite instrument designed to measure the Earth’s radiation budget and study how clouds and aerosols affect the planet’s climate and energy balance.
- 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_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.