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.