Triple
T15516823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiber-fed Extended Range Optical Spectrograph |
E368854
|
entity |
| Predicate | hasSpectralResolution |
P7238
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Fiber-fed Extended Range Optical Spectrograph, hasSpectralResolution, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpectralResolution Context triple: [Fiber-fed Extended Range Optical Spectrograph, hasSpectralResolution, high]
-
A.
spectralResolution
chosen
Indicates the fineness with which a system can distinguish or separate different wavelengths or frequencies within a spectrum.
-
B.
hasSpectralChannel
Indicates that something possesses or is associated with a specific spectral channel or band within an electromagnetic spectrum.
-
C.
hasSpectrograph
Indicates that one entity is equipped with or contains a spectrograph instrument.
-
D.
hasSpatialResolution
Indicates that something is characterized by a specific level of spatial detail or granularity at which it can represent or distinguish features in space.
-
E.
hasSpectralLines
Indicates that one entity exhibits or is characterized by specific spectral lines associated with another entity.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04033303c8190a87b6384f68a6921 |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:02 a.m.