Triple
T19260101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ringsOfUranusPhotographicEvidence |
E481623
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | astronomical observation dataset |
C18048
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: astronomical observation dataset Context triple: [ringsOfUranusPhotographicEvidence, instanceOf, astronomical observation dataset]
-
A.
astronomical data set
chosen
An astronomical data set is a structured collection of observational or simulated measurements about celestial objects and phenomena, typically including positions, brightnesses, spectra, and related metadata gathered using astronomical instruments.
-
B.
astronomical data archive
An astronomical data archive is a curated repository that stores, organizes, and provides access to observational and simulated data from astronomical instruments and surveys for scientific analysis and long-term preservation.
-
C.
astronomical data archive
An astronomical data archive is a curated, long-term repository that stores, organizes, and provides access to observational and simulated data from astronomical instruments and surveys for scientific analysis and reuse.
-
D.
astronomical image
An astronomical image is a visual representation of celestial objects or phenomena captured by telescopes or space instruments across various wavelengths of the electromagnetic spectrum.
-
E.
astronomical survey
An astronomical survey is a systematic observation program that maps and catalogs celestial objects or phenomena across large regions of the sky using standardized instruments and methods.
- F. None of above.
Provenance (1 batch)
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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 1:28 p.m.