Triple
T747358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goddard Space Flight Center |
E15372
|
entity |
| Predicate | developed |
P73
|
FINISHED |
| Object | Aura satellite |
E90955
|
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: Aura satellite | Statement: [Goddard Space Flight Center, developed, Aura satellite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aura satellite Context triple: [Goddard Space Flight Center, developed, Aura satellite]
-
A.
Vanguard 1 satellite
Vanguard 1 satellite is an early American artificial Earth satellite launched in 1958 that became the fourth human-made object in space and the oldest still in orbit, used primarily for geophysical and atmospheric research.
-
B.
Terra satellite
Terra is a flagship NASA Earth observation satellite that carries multiple instruments to monitor the planet’s climate, land, oceans, and atmosphere from polar orbit.
-
C.
Sputnik 1
Sputnik 1 was the first artificial Earth satellite, launched by the Soviet Union in 1957 and marking the beginning of the space age.
-
D.
Aqua satellite
chosen
Aqua is a NASA Earth observation satellite focused on studying the planet’s water cycle, including oceans, atmosphere, and ice.
-
E.
SOFIA
SOFIA is the Food and Agriculture Organization’s flagship biennial report that provides comprehensive analyses and statistics on the status, trends, and policy issues of global fisheries and aquaculture.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62dd1bc819094a3814654448ae3 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66d9576a08190ba78bad445efec5c |
completed | March 3, 2026, 5:11 a.m. |
Created at: March 1, 2026, 7:37 p.m.