Triple
T15829686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PRISMA |
E383836
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
PRecursore IperSpettrale della Missione Applicativa
PRecursore IperSpettrale della Missione Applicativa (PRISMA) is an Italian Earth observation satellite mission that uses hyperspectral imaging to study the planet’s surface for environmental monitoring and resource management.
|
E1179003
|
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: PRecursore IperSpettrale della Missione Applicativa | Statement: [PRISMA, fullName, PRecursore IperSpettrale della Missione Applicativa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRecursore IperSpettrale della Missione Applicativa Context triple: [PRISMA, fullName, PRecursore IperSpettrale della Missione Applicativa]
-
A.
HySI (Hyper Spectral Imager)
HySI (Hyper Spectral Imager) is a spaceborne imaging spectrometer designed to capture high-resolution hyperspectral data of the lunar surface for mineralogical and compositional analysis.
-
B.
Long Range Reconnaissance Imager
Long Range Reconnaissance Imager is the high-resolution telescopic camera aboard NASA's New Horizons spacecraft, designed to capture detailed images of distant solar system objects such as Pluto and Kuiper Belt targets.
-
C.
Imaging IR Spectrometer
The Imaging IR Spectrometer is a Chandrayaan-2 orbiter instrument designed to map the Moon’s surface composition by measuring reflected and emitted infrared radiation.
-
D.
Visible Infrared Imaging Radiometer Suite
The Visible Infrared Imaging Radiometer Suite (VIIRS) is a key Earth-observing sensor that collects high-resolution visible and infrared imagery for weather, climate, ocean, and environmental monitoring from polar-orbiting satellites.
-
E.
Advanced Spaceborne Thermal Emission and Reflection Radiometer
The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a high-resolution imaging sensor on NASA’s Terra satellite used to map and monitor Earth’s surface temperature, elevation, and reflectance for scientific and environmental applications.
- 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: PRecursore IperSpettrale della Missione Applicativa Triple: [PRISMA, fullName, PRecursore IperSpettrale della Missione Applicativa]
Generated description
PRecursore IperSpettrale della Missione Applicativa (PRISMA) is an Italian Earth observation satellite mission that uses hyperspectral imaging to study the planet’s surface for environmental monitoring and resource management.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PRecursore IperSpettrale della Missione Applicativa Target entity description: PRecursore IperSpettrale della Missione Applicativa (PRISMA) is an Italian Earth observation satellite mission that uses hyperspectral imaging to study the planet’s surface for environmental monitoring and resource management.
-
A.
HySI (Hyper Spectral Imager)
HySI (Hyper Spectral Imager) is a spaceborne imaging spectrometer designed to capture high-resolution hyperspectral data of the lunar surface for mineralogical and compositional analysis.
-
B.
Long Range Reconnaissance Imager
Long Range Reconnaissance Imager is the high-resolution telescopic camera aboard NASA's New Horizons spacecraft, designed to capture detailed images of distant solar system objects such as Pluto and Kuiper Belt targets.
-
C.
Imaging IR Spectrometer
The Imaging IR Spectrometer is a Chandrayaan-2 orbiter instrument designed to map the Moon’s surface composition by measuring reflected and emitted infrared radiation.
-
D.
Visible Infrared Imaging Radiometer Suite
The Visible Infrared Imaging Radiometer Suite (VIIRS) is a key Earth-observing sensor that collects high-resolution visible and infrared imagery for weather, climate, ocean, and environmental monitoring from polar-orbiting satellites.
-
E.
Advanced Spaceborne Thermal Emission and Reflection Radiometer
The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a high-resolution imaging sensor on NASA’s Terra satellite used to map and monitor Earth’s surface temperature, elevation, and reflectance for scientific and environmental applications.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e62aba8819090978801f4df73fe |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999f9ccc8190bc859c2b78a16baf |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9bf7363c8190a65798028305b1da |
completed | May 9, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9c580d608190a7b3de11a924cba7 |
completed | May 9, 2026, 8:43 p.m. |
Created at: April 10, 2026, 4:49 a.m.