Triple
T26296417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loki Patera |
E661430
|
entity |
| Predicate | hasEmissionWavelength |
P79792
|
FINISHED |
| Object | strong infrared emission |
—
|
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: strong infrared emission | Statement: [Loki Patera, hasEmissionWavelength, strong infrared emission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmissionWavelength Context triple: [Loki Patera, hasEmissionWavelength, strong infrared emission]
-
A.
supportsWavelengthRange
Indicates that an entity is capable of operating over, handling, or being compatible with a specified range of wavelengths.
-
B.
hasObservationWavelength
Indicates the specific wavelength at which an observation or measurement is made or recorded.
-
C.
emitsSpectrum
chosen
Indicates that one entity produces or gives off electromagnetic radiation characterized by a particular spectrum.
-
D.
usedWavelengthRange
Indicates the range of wavelengths that were employed or applied in performing a particular process, measurement, or operation.
-
E.
hasSpectralChannel
Indicates that something possesses or is associated with a specific spectral channel or band within an electromagnetic spectrum.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60eaea1d08190b93b85590b8c9781 |
completed | May 2, 2026, 2:48 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 10:12 p.m.