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.