Triple
T11108689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oceansat-2 |
E262698
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | OceanSat-2 |
E262698
|
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: OceanSat-2 | Statement: [Oceansat-2, alsoKnownAs, OceanSat-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OceanSat-2 Context triple: [Oceansat-2, alsoKnownAs, OceanSat-2]
-
A.
Aqua satellite
Aqua is a NASA Earth observation satellite focused on studying the planet’s water cycle, including oceans, atmosphere, and ice.
-
B.
Oceansat-2
chosen
Oceansat-2 is an Indian Earth observation satellite designed primarily for oceanographic and atmospheric studies, including monitoring ocean color, surface winds, and coastal zones.
-
C.
Jason-2
Jason-2 is an oceanography satellite mission that precisely measures sea surface height to study global ocean circulation, sea-level rise, and climate change.
-
D.
Meteosat Second Generation
Meteosat Second Generation is a series of advanced European geostationary weather satellites that provide high-resolution imagery and data for meteorological monitoring and forecasting.
-
E.
Meteosat Third Generation
Meteosat Third Generation is a new generation of European geostationary weather satellites designed to provide highly detailed, rapid-update observations for improved weather forecasting and climate monitoring.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a67d10c8190815d4c27d55270e8 |
completed | April 9, 2026, 12:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d72f8f48190a7414119a6be9d5e |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.