Triple
T17131292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPIRE |
E415725
|
entity |
| Predicate | spectrometerRange |
P124929
|
FINISHED |
| Object | approximately 194–313 micrometres |
—
|
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: approximately 194–313 micrometres | Statement: [SPIRE, spectrometerRange, approximately 194–313 micrometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spectrometerRange Context triple: [SPIRE, spectrometerRange, approximately 194–313 micrometres]
-
A.
spectrometerType
Indicates the specific kind or category of spectrometer associated with or used in relation to 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.
approximateWavelengthRange
chosen
Indicates the range of wavelengths that approximately characterizes or bounds the phenomenon, object, or interaction in question.
-
D.
spectralResolution
Indicates the fineness with which a system can distinguish or separate different wavelengths or frequencies within a spectrum.
-
E.
supportsWavelengthRange
Indicates that an entity is capable of operating over, handling, or being compatible with a specified range of wavelengths.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02a9fbc81909d820d29417aa55c |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.