Triple
T22615265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian space program |
E558126
|
entity |
| Predicate | notableProject |
P4
|
FINISHED |
| Object | CBERS-2 |
—
|
NE NERFINISHED |
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: CBERS-2 | Statement: [Brazilian space program, notableProject, CBERS-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBERS-2 Context triple: [Brazilian space program, notableProject, CBERS-2]
-
A.
CBERS satellites
chosen
The CBERS satellites are a series of Earth observation spacecraft jointly developed by Brazil and China to provide remote sensing data for environmental monitoring, agriculture, and land management.
-
B.
Gaofen-2
Gaofen-2 is a Chinese high-resolution Earth observation satellite used for detailed land imaging, resource monitoring, and disaster assessment.
-
C.
Gaofen-12
Gaofen-12 is a Chinese high-resolution Earth observation satellite used for detailed land, resource, and environmental monitoring.
-
D.
Aist-2D satellite
The Aist-2D satellite is a Russian Earth observation spacecraft designed for high-resolution imaging and scientific research in low Earth orbit.
-
E.
Gaofen-1
Gaofen-1 is a Chinese high-resolution Earth observation satellite used for applications such as land resource surveying, environmental monitoring, and disaster assessment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f167edec2481909c2f06607b3cb8f6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:59 p.m.