Triple
T293855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Environmental Satellite, Data, and Information Service |
E6050
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
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.
|
E37881
|
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: Geostationary Operational Environmental Satellite program | Statement: [National Environmental Satellite, Data, and Information Service, operates, Geostationary Operational Environmental Satellite program]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geostationary Operational Environmental Satellite program Context triple: [National Environmental Satellite, Data, and Information Service, operates, Geostationary Operational Environmental Satellite program]
-
A.
National Environmental Satellite, Data, and Information Service
The National Environmental Satellite, Data, and Information Service (NESDIS) is a NOAA division responsible for managing the United States’ civil environmental satellites and providing critical weather, climate, and oceanographic data.
-
B.
Global Observing System
The Global Observing System is an international network of meteorological and environmental observation platforms that provides essential data for weather forecasting, climate monitoring, and related research worldwide.
-
C.
National Meteorological Telecommunication Networks
National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
-
D.
Vanguard 1 satellite
Vanguard 1 satellite is an early American artificial Earth satellite launched in 1958 that became the fourth human-made object in space and the oldest still in orbit, used primarily for geophysical and atmospheric research.
-
E.
Skylab program
The Skylab program was NASA’s first space station initiative, focused on long-duration human spaceflight and scientific research in Earth orbit during the 1970s.
- 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: Geostationary Operational Environmental Satellite program Triple: [National Environmental Satellite, Data, and Information Service, operates, Geostationary Operational Environmental Satellite program]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geostationary Operational Environmental Satellite program Target entity description: 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.
-
A.
National Environmental Satellite, Data, and Information Service
The National Environmental Satellite, Data, and Information Service (NESDIS) is a NOAA division responsible for managing the United States’ civil environmental satellites and providing critical weather, climate, and oceanographic data.
-
B.
Global Observing System
The Global Observing System is an international network of meteorological and environmental observation platforms that provides essential data for weather forecasting, climate monitoring, and related research worldwide.
-
C.
National Meteorological Telecommunication Networks
National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
-
D.
Vanguard 1 satellite
Vanguard 1 satellite is an early American artificial Earth satellite launched in 1958 that became the fourth human-made object in space and the oldest still in orbit, used primarily for geophysical and atmospheric research.
-
E.
Skylab program
The Skylab program was NASA’s first space station initiative, focused on long-duration human spaceflight and scientific research in Earth orbit during the 1970s.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e978420881908488df342a7d5e90 |
completed | Feb. 28, 2026, 1:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a5d514388190ac0f748a406ae43e |
completed | March 1, 2026, 2:35 a.m. |
| NEDg | Description generation | batch_69a3a63b33408190bea3a099165d1233 |
completed | March 1, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3a69b4e488190ae092d6989c75556 |
completed | March 1, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.