Triple
T16336450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAICHI |
E396689
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | ALOS-2 |
E88136
|
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: ALOS-2 | Statement: [DAICHI, successor, ALOS-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALOS-2 Context triple: [DAICHI, successor, ALOS-2]
-
A.
ALOS Earth observation satellites
chosen
ALOS Earth observation satellites are Japanese remote-sensing spacecraft designed to collect high-resolution imagery and data for mapping, disaster monitoring, and environmental observation.
-
B.
RADARSAT-2
RADARSAT-2 is a Canadian Earth observation satellite equipped with advanced synthetic aperture radar (SAR) technology used for environmental monitoring, resource management, and surveillance.
-
C.
COSMO-SkyMed
COSMO-SkyMed is an Italian Earth observation satellite constellation that uses synthetic aperture radar to provide high-resolution images for civilian and military applications worldwide.
-
D.
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.
-
E.
RADARSAT-1
RADARSAT-1 was Canada’s first commercial Earth observation radar satellite, renowned for its all-weather, day-and-night imaging capabilities used in environmental monitoring, resource management, and disaster response worldwide.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e3af7881908a3116c41ed69115 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dabc89481908005f5b2060abded |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.