Triple
T33362256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green fluorescent protein |
E854252
|
entity |
| Predicate | hasExcitationWavelength |
P123762
|
FINISHED |
| Object | 395 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: 395 nm | Statement: [Green fluorescent protein, hasExcitationWavelength, 395 nm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExcitationWavelength Context triple: [Green fluorescent protein, hasExcitationWavelength, 395 nm]
-
A.
emitsWavelength
Indicates that one entity produces or gives off electromagnetic radiation at a specified wavelength associated with another entity.
-
B.
pumpingWavelength
Indicates the wavelength at which energy is supplied to excite a system or medium in a pumping process.
-
C.
focusWavelength
Indicates the specific wavelength at which an optical system or device is adjusted to achieve optimal focus.
-
D.
supportsWavelengthRange
Indicates that an entity is capable of operating over, handling, or being compatible with a specified range of wavelengths.
-
E.
GFPExcitationPeak
chosen
Indicates the specific excitation wavelength at which GFP (green fluorescent protein) absorbs light most efficiently.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 1, 2026, 1:34 a.m.