Triple
T18817699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACSIS |
E460180
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | AutoCorrelation Spectral Imaging System |
—
|
NE NERFINISHED |
How this triple was built (3 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: AutoCorrelation Spectral Imaging System | Statement: [ACSIS, fullName, AutoCorrelation Spectral Imaging System]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AutoCorrelation Spectral Imaging System Context triple: [ACSIS, fullName, AutoCorrelation Spectral Imaging System]
-
A.
Solid-state Imaging Spectrometer
The Solid-state Imaging Spectrometer is an X-ray detector instrument that provided high-resolution imaging and spectroscopy for astrophysical observations aboard the ASCA satellite.
-
B.
Spectral and Photometric Imaging Receiver
The Spectral and Photometric Imaging Receiver (SPIRE) is a far-infrared and submillimetre camera and spectrometer instrument that flew on the Herschel Space Observatory to study cold dust and gas in the universe.
-
C.
Spectral Band Replication
Spectral Band Replication is an audio coding enhancement technique that reconstructs high-frequency components from lower-frequency data to improve compression efficiency at low bitrates.
-
D.
Solid-state Slit Camera
The Solid-state Slit Camera is an X-ray imaging instrument used on the MAXI (Monitor of All-sky X-ray Image) mission to monitor and map X-ray sources across the sky.
-
E.
Linear Imaging Self-Scanning Sensor-III
Linear Imaging Self-Scanning Sensor-III (LISS-III) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution images for applications such as land use mapping, agriculture, and environmental monitoring.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AutoCorrelation Spectral Imaging System Target entity description: AutoCorrelation Spectral Imaging System is a radio astronomy backend instrument designed to perform high-resolution spectral line observations by processing and correlating signals from telescopes.
-
A.
Solid-state Imaging Spectrometer
The Solid-state Imaging Spectrometer is an X-ray detector instrument that provided high-resolution imaging and spectroscopy for astrophysical observations aboard the ASCA satellite.
-
B.
Spectral and Photometric Imaging Receiver
The Spectral and Photometric Imaging Receiver (SPIRE) is a far-infrared and submillimetre camera and spectrometer instrument that flew on the Herschel Space Observatory to study cold dust and gas in the universe.
-
C.
Spectral Band Replication
Spectral Band Replication is an audio coding enhancement technique that reconstructs high-frequency components from lower-frequency data to improve compression efficiency at low bitrates.
-
D.
Solid-state Slit Camera
The Solid-state Slit Camera is an X-ray imaging instrument used on the MAXI (Monitor of All-sky X-ray Image) mission to monitor and map X-ray sources across the sky.
-
E.
Linear Imaging Self-Scanning Sensor-III
Linear Imaging Self-Scanning Sensor-III (LISS-III) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution images for applications such as land use mapping, agriculture, and environmental monitoring.
- F. None of above. chosen
Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6b7e75c81909bc65cfc61cbe1c6 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:55 a.m.