Triple
T7099974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jovian satellite system |
E165430
|
entity |
| Predicate | containsLargestMoonInSolarSystem |
P26041
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Jovian satellite system, containsLargestMoonInSolarSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsLargestMoonInSolarSystem Context triple: [Jovian satellite system, containsLargestMoonInSolarSystem, true]
-
A.
hasLargestMoon
chosen
Indicates that, among a set of compared entities, this entity possesses the moon with the greatest size.
-
B.
areLargestMoonsOf
Indicates that the referenced moons are the largest natural satellites belonging to the specified celestial bodies.
-
C.
isSecondLargestMoonOf
Indicates that one celestial body is the second largest moon in size orbiting a specified primary body.
-
D.
isOneOfMoonsOf
Indicates that the subject entity is one of the natural satellites (moons) that orbit the object entity.
-
E.
isMoonOf
Indicates that one celestial body is a natural satellite orbiting another body, typically a planet or dwarf planet.
- F. None of above.
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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58531c88190a32746f9a97da709 |
completed | March 27, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:42 p.m.