Triple
T12362701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun Earth Connection Coronal and Heliospheric Investigation |
E294779
|
entity |
| Predicate | observesWavelength |
P20341
|
FINISHED |
| Object | extreme ultraviolet |
—
|
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: extreme ultraviolet | Statement: [Sun Earth Connection Coronal and Heliospheric Investigation, observesWavelength, extreme ultraviolet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observesWavelength Context triple: [Sun Earth Connection Coronal and Heliospheric Investigation, observesWavelength, extreme ultraviolet]
-
A.
hasObservationWavelength
chosen
Indicates the specific wavelength at which an observation or measurement is made or recorded.
-
B.
observingBand
Indicates that an entity is observing or monitoring another entity using a specific spectral band or frequency range.
-
C.
usedWavelengthRange
Indicates the range of wavelengths that were employed or applied in performing a particular process, measurement, or operation.
-
D.
supportsWavelengthRange
Indicates that an entity is capable of operating over, handling, or being compatible with a specified range of wavelengths.
-
E.
observationalVisibility
Indicates that one entity is able to observe or visually perceive another entity under given conditions.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.