Triple
T812688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 100BASE-FX |
E17579
|
entity |
| Predicate | nominalWavelength |
P5242
|
FINISHED |
| Object | 1300 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: 1300 nm | Statement: [100BASE-FX, nominalWavelength, 1300 nm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nominalWavelength Context triple: [100BASE-FX, nominalWavelength, 1300 nm]
-
A.
primaryWavelength
chosen
Indicates the main or dominant wavelength associated with an entity, such as the principal wavelength at which it emits, reflects, or operates.
-
B.
spectralResolution
Indicates the fineness with which a system can distinguish or separate different wavelengths or frequencies within a spectrum.
-
C.
spectrographType
Indicates the specific kind or category of spectrograph associated with an instrument or observation.
-
D.
naveLength
Indicates the length measurement of a building’s nave, typically from the entrance to the chancel or crossing.
-
E.
primaryMirrorDiameter
Indicates the diameter of the primary mirror used in an optical system or instrument.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab4c7418819085cb64c6bf5fa70c |
completed | March 1, 2026, 9:10 p.m. |
| PD | Predicate disambiguation | batch_69a4aa73df08819096d0553a4b2509de |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.