Triple
T32257062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TOPEX/Poseidon |
E824053
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | oceanography mission |
C58139
|
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: oceanography mission Context triple: [TOPEX/Poseidon, instanceOf, oceanography mission]
-
A.
ocean observing program
An ocean observing program is a coordinated, long-term effort that systematically measures and monitors physical, chemical, biological, and geological properties of the ocean to support research, forecasting, and resource management.
-
B.
oceanographic research infrastructure
Oceanographic research infrastructure comprises the specialized vessels, instruments, platforms, data systems, and support facilities used to observe, measure, and analyze physical, chemical, biological, and geological processes in the ocean.
-
C.
deep-sea exploration program
A deep-sea exploration program is an organized, long-term initiative that uses specialized technologies and scientific methods to investigate, map, and understand the physical, biological, and geological characteristics of the ocean’s deepest regions.
-
D.
manned submersible expedition program
A manned submersible expedition program is an organized, multi-mission initiative that plans, operates, and supports crewed underwater vehicles to explore, study, and document the deep ocean environment.
-
E.
deep-sea exploration project
A deep-sea exploration project is an organized scientific and engineering endeavor that investigates the physical, biological, and geological characteristics of the ocean’s deepest regions using specialized submersibles, sensors, and data analysis tools.
- F. None of above. chosen
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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:41 a.m.