Triple

T8378729

Position	Surface form	Disambiguated ID	Type / Status
Subject	European Organisation for the Exploitation of Meteorological Satellites	`E197636`	entity
Predicate	hasProgramme	`P6928`	FINISHED
Object	Meteosat Second Generation Meteosat Second Generation is a series of advanced European geostationary weather satellites that provide high-resolution imagery and data for meteorological monitoring and forecasting.	`E729840`	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: Meteosat Second Generation | Statement: [European Organisation for the Exploitation of Meteorological Satellites, hasProgramme, Meteosat Second Generation]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Meteosat Second Generation
Context triple: [European Organisation for the Exploitation of Meteorological Satellites, hasProgramme, Meteosat Second Generation]

A. European Organisation for the Exploitation of Meteorological Satellites
The European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) is an intergovernmental organization that develops, launches, and operates meteorological satellites to provide weather and climate data to its member states and international partners.
B. Aqua satellite
Aqua is a NASA Earth observation satellite focused on studying the planet’s water cycle, including oceans, atmosphere, and ice.
C. Arconsat
Arconsat is a small rural commune in central France, located in the Puy-de-Dôme department of the Auvergne-Rhône-Alpes region.
D. SCISAT-1
SCISAT-1 is a Canadian scientific satellite dedicated primarily to studying Earth's upper atmosphere and monitoring ozone layer chemistry and related trace gases.
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: Meteosat Second Generation
Triple: [European Organisation for the Exploitation of Meteorological Satellites, hasProgramme, Meteosat Second Generation]

Generated description

Meteosat Second Generation is a series of advanced European geostationary weather satellites that provide high-resolution imagery and data for meteorological monitoring and forecasting.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Meteosat Second Generation
Target entity description: Meteosat Second Generation is a series of advanced European geostationary weather satellites that provide high-resolution imagery and data for meteorological monitoring and forecasting.

A. European Organisation for the Exploitation of Meteorological Satellites
The European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) is an intergovernmental organization that develops, launches, and operates meteorological satellites to provide weather and climate data to its member states and international partners.
B. Aqua satellite
Aqua is a NASA Earth observation satellite focused on studying the planet’s water cycle, including oceans, atmosphere, and ice.
C. Arconsat
Arconsat is a small rural commune in central France, located in the Puy-de-Dôme department of the Auvergne-Rhône-Alpes region.
D. SCISAT-1
SCISAT-1 is a Canadian scientific satellite dedicated primarily to studying Earth's upper atmosphere and monitoring ozone layer chemistry and related trace gases.
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_69ca82f64c188190af4e1608036b865d`	completed	March 30, 2026, 2:04 p.m.
NER	Named-entity recognition	`batch_69cb80c3dc1881908081c6a2829deb5a`	completed	March 31, 2026, 8:07 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69cde7fa87908190a504f8aaae125a7a`	completed	April 2, 2026, 3:52 a.m.
NEDg	Description generation	`batch_69cdebf944008190b7e758ac59257e22`	completed	April 2, 2026, 4:09 a.m.
NED2	Entity disambiguation (via description)	`batch_69cdeccedf4081909cab853ee1ff1b82`	completed	April 2, 2026, 4:13 a.m.

Created at: March 30, 2026, 6:02 p.m.