Triple
T16690789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Resolution Stereo Camera |
E405587
|
entity |
| Predicate | spectralCapability |
P38761
|
FINISHED |
| Object | panchromatic imaging |
—
|
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: panchromatic imaging | Statement: [High Resolution Stereo Camera, spectralCapability, panchromatic imaging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spectralCapability Context triple: [High Resolution Stereo Camera, spectralCapability, panchromatic imaging]
-
A.
spectralCoverageEnd
Indicates the upper limit of the spectral range (e.g., wavelength, frequency, or energy) covered by an observation, dataset, or instrument.
-
B.
hasSpectralChannel
chosen
Indicates that something possesses or is associated with a specific spectral channel or band within an electromagnetic spectrum.
-
C.
hasBetterColorReproductionThan
Indicates that one entity produces more accurate or higher-quality color representation than another entity.
-
D.
emitsSpectrum
Indicates that one entity produces or gives off electromagnetic radiation characterized by a particular spectrum.
-
E.
displayCapabilities
Indicates the set of functions, features, or behaviors that an entity is able to present or support in a given context.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea8cabc8190ba321503399960da |
completed | April 18, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.