Triple
T7353010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europa Clipper mission |
E169550
|
entity |
| Predicate | target |
P860
|
FINISHED |
| Object | Jupiter |
E20341
|
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: Jupiter | Statement: [Europa Clipper mission, target, Jupiter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jupiter Context triple: [Europa Clipper mission, target, Jupiter]
-
A.
Jupiter
Jupiter was a British warship active during the late 18th century, notable for being captured in the naval Battle of Camperdown.
-
B.
Jupiter
Jupiter is the chief god of ancient Roman religion, associated primarily with the sky, thunder, and kingship.
-
C.
Jupiter
chosen
Jupiter is the largest planet in our Solar System, a gas giant known for its Great Red Spot and many moons.
-
D.
Saturn
Saturn is a gas giant planet known for its extensive and prominent ring system, orbiting the Sun as one of the outer planets in our Solar System.
-
E.
Saturn
Saturn was an American automobile manufacturer created by General Motors as a separate, innovative small-car brand aimed at competing with Japanese imports.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10d3ef88190b3a0763d80b1e726 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa9dfbac8190993c866cda169633 |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:05 p.m.