Triple
T4649375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XFP |
E102253
|
entity |
| Predicate | supportsWavelength |
P45250
|
FINISHED |
| Object | 1310 nm (various reaches) |
—
|
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: 1310 nm (various reaches) | Statement: [XFP, supportsWavelength, 1310 nm (various reaches)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsWavelength Context triple: [XFP, supportsWavelength, 1310 nm (various reaches)]
-
A.
supportsWavelengthRange
chosen
Indicates that an entity is capable of operating over, handling, or being compatible with a specified range of wavelengths.
-
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.
hasObservationWavelength
Indicates the specific wavelength at which an observation or measurement is made or recorded.
-
D.
hasSpectralChannel
Indicates that something possesses or is associated with a specific spectral channel or band within an electromagnetic spectrum.
-
E.
supportedIn
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.