Triple

T9169503
Position Surface form Disambiguated ID Type / Status
Subject WMO Global Atmosphere Watch Station Network E220046 entity
Predicate hasComponent P35 FINISHED
Object GAW global stations for aerosols
GAW global stations for aerosols are specialized monitoring sites within the Global Atmosphere Watch network that measure and analyze atmospheric aerosol particles to support climate, air quality, and environmental research.
E782431 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: GAW global stations for aerosols | Statement: [WMO Global Atmosphere Watch Station Network, hasComponent, GAW global stations for aerosols]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GAW global stations for aerosols
Context triple: [WMO Global Atmosphere Watch Station Network, hasComponent, GAW global stations for aerosols]
  • A. Measurements of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation
    Measurements of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation is a satellite-borne instrument on SCISAT-1 that uses solar occultation techniques to measure atmospheric aerosol extinction profiles in both the stratosphere and troposphere.
  • 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. GOSAT greenhouse gases observation satellites
    GOSAT greenhouse gases observation satellites are Japanese Earth-observing spacecraft dedicated to measuring atmospheric concentrations of greenhouse gases such as carbon dioxide and methane to support climate change research.
  • D. Measurements of Pollution in the Troposphere
    Measurements of Pollution in the Troposphere is a satellite instrument designed to monitor and map global atmospheric pollution and trace gases in the lower atmosphere.
  • 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: GAW global stations for aerosols
Triple: [WMO Global Atmosphere Watch Station Network, hasComponent, GAW global stations for aerosols]
Generated description
GAW global stations for aerosols are specialized monitoring sites within the Global Atmosphere Watch network that measure and analyze atmospheric aerosol particles to support climate, air quality, and environmental research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GAW global stations for aerosols
Target entity description: GAW global stations for aerosols are specialized monitoring sites within the Global Atmosphere Watch network that measure and analyze atmospheric aerosol particles to support climate, air quality, and environmental research.
  • A. Measurements of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation
    Measurements of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation is a satellite-borne instrument on SCISAT-1 that uses solar occultation techniques to measure atmospheric aerosol extinction profiles in both the stratosphere and troposphere.
  • 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. GOSAT greenhouse gases observation satellites
    GOSAT greenhouse gases observation satellites are Japanese Earth-observing spacecraft dedicated to measuring atmospheric concentrations of greenhouse gases such as carbon dioxide and methane to support climate change research.
  • D. Measurements of Pollution in the Troposphere
    Measurements of Pollution in the Troposphere is a satellite instrument designed to monitor and map global atmospheric pollution and trace gases in the lower atmosphere.
  • 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

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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaae0f3148190b111b22902cdb86c completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05491ccec819093fcf2d764c5381b completed April 4, 2026, midnight
NEDg Description generation batch_69d05628d8708190a85437c5051a5a05 completed April 4, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69d056e4ad98819086e73edf15aa6210 completed April 4, 2026, 12:10 a.m.
Created at: March 30, 2026, 7:22 p.m.