Triple
T17178860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Spaceborne Thermal Emission and Reflection Radiometer |
E416928
|
entity |
| Predicate | shortwaveInfraredBands |
P123770
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Advanced Spaceborne Thermal Emission and Reflection Radiometer, shortwaveInfraredBands, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortwaveInfraredBands Context triple: [Advanced Spaceborne Thermal Emission and Reflection Radiometer, shortwaveInfraredBands, 6]
-
A.
numberOfInfraredChannels
chosen
Indicates the count of distinct infrared channels associated with or supported by an entity.
-
B.
wavelengthRangeLowerBoundMicrometers
Indicates the minimum wavelength value, expressed in micrometers, that defines the lower limit of a wavelength range for the related entity or measurement.
-
C.
observingBand
Indicates that an entity is observing or monitoring another entity using a specific spectral band or frequency range.
-
D.
supportsWavelengthRange
Indicates that an entity is capable of operating over, handling, or being compatible with a specified range of wavelengths.
-
E.
approximateWavelengthRange
Indicates the range of wavelengths that approximately characterizes or bounds the phenomenon, object, or interaction in question.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0f9a288190b0ddfb673bd8e84b |
completed | April 18, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.