Triple
T747354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goddard Space Flight Center |
E15372
|
entity |
| Predicate | manages |
P86
|
FINISHED |
| Object |
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.
|
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: Goddard Earth Observing System models | Statement: [Goddard Space Flight Center, manages, Goddard Earth Observing System models]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goddard Earth Observing System models Context triple: [Goddard Space Flight Center, manages, Goddard Earth Observing System models]
-
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.
Global Climate Observing System
The Global Climate Observing System is an international program that coordinates and supports comprehensive, long-term observations of the Earth’s climate system to underpin climate research, services, and policy.
-
C.
Deep Space Climate Observatory
The Deep Space Climate Observatory (DSCOVR) is a NOAA and NASA satellite positioned at the Sun–Earth L1 Lagrange point that continuously monitors solar wind conditions and provides real-time space weather and Earth observation data.
-
D.
Mars Science Laboratory entry, descent, and landing modeling
Mars Science Laboratory entry, descent, and landing modeling is the suite of analytical and computational tools used to predict and optimize the Curiosity rover’s atmospheric entry, parachute descent, and landing performance on Mars.
-
E.
Geostationary Operational Environmental Satellite program
The Geostationary Operational Environmental Satellite (GOES) program is a series of U.S. weather satellites in geostationary orbit that provide continuous monitoring of atmospheric, oceanic, and environmental conditions for forecasting and research.
- 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: Goddard Earth Observing System models Triple: [Goddard Space Flight Center, manages, Goddard Earth Observing System models]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goddard Earth Observing System models Target entity description: 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.
-
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.
Global Climate Observing System
The Global Climate Observing System is an international program that coordinates and supports comprehensive, long-term observations of the Earth’s climate system to underpin climate research, services, and policy.
-
C.
Deep Space Climate Observatory
The Deep Space Climate Observatory (DSCOVR) is a NOAA and NASA satellite positioned at the Sun–Earth L1 Lagrange point that continuously monitors solar wind conditions and provides real-time space weather and Earth observation data.
-
D.
Mars Science Laboratory entry, descent, and landing modeling
Mars Science Laboratory entry, descent, and landing modeling is the suite of analytical and computational tools used to predict and optimize the Curiosity rover’s atmospheric entry, parachute descent, and landing performance on Mars.
-
E.
Geostationary Operational Environmental Satellite program
The Geostationary Operational Environmental Satellite (GOES) program is a series of U.S. weather satellites in geostationary orbit that provide continuous monitoring of atmospheric, oceanic, and environmental conditions for forecasting and research.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62dd1bc819094a3814654448ae3 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654e664e4819081badaf0ba0d86e5 |
completed | March 3, 2026, 3:26 a.m. |
| NEDg | Description generation | batch_69a655e0a2608190801fb67856bc2ac4 |
completed | March 3, 2026, 3:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a65704a964819097ad5074e83303b4 |
completed | March 3, 2026, 3:35 a.m. |
Created at: March 1, 2026, 7:37 p.m.