Triple
T8378953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Technology Microwave Sounder |
E197641
|
entity |
| Predicate | spectralBands |
P38761
|
FINISHED |
| Object | microwave |
—
|
LITERAL FINISHED |
How this triple was built (2 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: microwave | Statement: [Advanced Technology Microwave Sounder, spectralBands, microwave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spectralBands Context triple: [Advanced Technology Microwave Sounder, spectralBands, microwave]
-
A.
hasSpectralChannel
chosen
Indicates that something possesses or is associated with a specific spectral channel or band within an electromagnetic spectrum.
-
B.
spectralRegion
Indicates the portion of the electromagnetic spectrum (e.g., wavelength or frequency range) in which a measurement, observation, or property is defined or applies.
-
C.
spectralProperty
Indicates a relationship where an entity possesses or is characterized by a specific spectral feature, measurement, or behavior (e.g., in its frequency, wavelength, or energy spectrum).
-
D.
spectralResolution
Indicates the fineness with which a system can distinguish or separate different wavelengths or frequencies within a spectrum.
-
E.
observingBand
Indicates that an entity is observing or monitoring another entity using a specific spectral band or frequency range.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69cb70cfe82881909fe374ba52649e84 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:02 p.m.