Triple
T2139328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Telescope Imaging Spectrograph |
E46724
|
entity |
| Predicate | spectralRangeUpperLimit |
P7244
|
FINISHED |
| Object | ~1000 nm |
—
|
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: ~1000 nm | Statement: [Space Telescope Imaging Spectrograph, spectralRangeUpperLimit, ~1000 nm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spectralRangeUpperLimit Context triple: [Space Telescope Imaging Spectrograph, spectralRangeUpperLimit, ~1000 nm]
-
A.
spectralResolution
Indicates the fineness with which a system can distinguish or separate different wavelengths or frequencies within a spectrum.
-
B.
spectralRegion
chosen
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.
emissivityRange
Indicates the range of emissivity values within which an entity’s emission-related property is valid or characterized.
-
D.
isHighestRangeOf
Indicates that one entity represents the maximum or topmost range or interval within which another entity falls or is categorized.
-
E.
maximumChannelWidth
Indicates the greatest allowable or observed width of a channel in the 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbf74147c81908793c3694894f94a |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbd96a3b0819081efbfef975e1513 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.