Triple
T22819390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XG-PON |
E565185
|
entity |
| Predicate | downstreamWavelengthBand |
P45250
|
FINISHED |
| Object | 1575 nm to 1580 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: 1575 nm to 1580 nm | Statement: [XG-PON, downstreamWavelengthBand, 1575 nm to 1580 nm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: downstreamWavelengthBand Context triple: [XG-PON, downstreamWavelengthBand, 1575 nm to 1580 nm]
-
A.
wavelengthRangeLowerBoundMicrometers
Indicates the minimum wavelength value, expressed in micrometers, that defines the lower limit of a wavelength range for the related entity or measurement.
-
B.
channelWavelength
Indicates the specific wavelength at which a given channel operates or is defined.
-
C.
supportsWavelengthRange
chosen
Indicates that an entity is capable of operating over, handling, or being compatible with a specified range of wavelengths.
-
D.
usedWavelengthRange
Indicates the range of wavelengths that were employed or applied in performing a particular process, measurement, or operation.
-
E.
approximateWavelengthRange
Indicates the range of wavelengths that approximately characterizes or bounds the phenomenon, object, or interaction in question.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dcf39a88190bec26affc304236d |
completed | April 29, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:33 p.m.