Triple

T3918623
Position Surface form Disambiguated ID Type / Status
Subject Goddard Earth Observing System models E88904 entity
Predicate hasVersion P455 FINISHED
Object MERRA reanalysis system
The MERRA reanalysis system is a NASA atmospheric reanalysis project that uses the Goddard Earth Observing System models to produce a long-term, consistent record of global weather and climate data.
E399060 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: MERRA reanalysis system | Statement: [Goddard Earth Observing System models, hasVersion, MERRA reanalysis system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MERRA reanalysis system
Context triple: [Goddard Earth Observing System models, hasVersion, MERRA reanalysis system]
  • A. 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.
  • B. 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.
  • C. 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.
  • 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. 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.
  • 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: MERRA reanalysis system
Triple: [Goddard Earth Observing System models, hasVersion, MERRA reanalysis system]
Generated description
The MERRA reanalysis system is a NASA atmospheric reanalysis project that uses the Goddard Earth Observing System models to produce a long-term, consistent record of global weather and climate data.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MERRA reanalysis system
Target entity description: The MERRA reanalysis system is a NASA atmospheric reanalysis project that uses the Goddard Earth Observing System models to produce a long-term, consistent record of global weather and climate data.
  • A. 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.
  • B. 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.
  • C. 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.
  • 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. 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.
  • 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.