Triple
T28711429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meteosat Second Generation |
E729840
|
entity |
| Predicate | spectralChannels |
P123775
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Meteosat Second Generation, spectralChannels, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spectralChannels Context triple: [Meteosat Second Generation, spectralChannels, 12]
-
A.
numberOfSpectralChannels
chosen
Indicates the relationship specifying how many distinct spectral channels are associated with an entity or measurement.
-
B.
hasSpectralChannel
Indicates that something possesses or is associated with a specific spectral channel or band within an electromagnetic spectrum.
-
C.
imageChannels
Indicates the number and types of color or data channels present in an image (e.g., RGB, RGBA, grayscale).
-
D.
spectralProperty
Indicates a relationship where an entity possesses or is characterized by a specific spectral feature, measurement, or behavior (e.g., in its frequency, wavelength, or energy spectrum).
-
E.
hasOpticalChannels
Indicates that an entity possesses one or more optical communication or signal-transmission channels.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 5:48 a.m.