Triple
T17765187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IR2 camera |
E443484
|
entity |
| Predicate | observingWavelengthRange |
P38137
|
FINISHED |
| Object | longer infrared wavelengths |
—
|
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: longer infrared wavelengths | Statement: [IR2 camera, observingWavelengthRange, longer infrared wavelengths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observingWavelengthRange Context triple: [IR2 camera, observingWavelengthRange, longer infrared wavelengths]
-
A.
hasObservationWavelength
Indicates the specific wavelength at which an observation or measurement is made or recorded.
-
B.
approximateWavelengthRange
Indicates the range of wavelengths that approximately characterizes or bounds the phenomenon, object, or interaction in question.
-
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.
observingBand
chosen
Indicates that an entity is observing or monitoring another entity using a specific spectral band or frequency range.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fb2a3c81908887d1d36aee942d |
completed | April 19, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:11 a.m.