Triple
T8378510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JPSS |
E197633
|
entity |
| Predicate | includesSatellite |
P61027
|
FINISHED |
| Object | NOAA-20 |
E197637
|
NE 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: NOAA-20 | Statement: [JPSS, includesSatellite, NOAA-20]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NOAA-20 Context triple: [JPSS, includesSatellite, NOAA-20]
-
A.
NOAA-20
chosen
NOAA-20 is a U.S. polar-orbiting weather and environmental satellite operated by NOAA that provides critical data for global weather forecasting and climate monitoring.
-
B.
Aqua satellite
Aqua is a NASA Earth observation satellite focused on studying the planet’s water cycle, including oceans, atmosphere, and ice.
-
C.
Oceansat-2
Oceansat-2 is an Indian Earth observation satellite designed primarily for oceanographic and atmospheric studies, including monitoring ocean color, surface winds, and coastal zones.
-
D.
Oceansat-1
Oceansat-1 is an Indian remote sensing satellite dedicated to oceanographic and atmospheric studies, including monitoring ocean color, surface winds, and related marine resources.
-
E.
Oceansat-3
Oceansat-3 is an Indian Earth observation satellite designed to monitor ocean color, surface winds, and other marine and coastal parameters for applications in fisheries, coastal management, and climate studies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cbd120a1ec8190a8dc101fa1371780 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02b4d840819090a0eaadaff9c9f9 |
completed | April 2, 2026, 5:46 a.m. |
Created at: March 30, 2026, 6:02 p.m.