Triple
T6426375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triton |
E128066
|
entity |
| Predicate | isSecondLargestMoonOf |
P70815
|
FINISHED |
| Object | outer Solar System after Titan |
—
|
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: outer Solar System after Titan | Statement: [Triton, isSecondLargestMoonOf, outer Solar System after Titan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondLargestMoonOf Context triple: [Triton, isSecondLargestMoonOf, outer Solar System after Titan]
-
A.
areLargestMoonsOf
Indicates that the referenced moons are the largest natural satellites belonging to the specified celestial bodies.
-
B.
hasLargestMoon
Indicates that, among a set of compared entities, this entity possesses the moon with the greatest size.
-
C.
isOneOfMoonsOf
Indicates that the subject entity is one of the natural satellites (moons) that orbit the object entity.
-
D.
areFirstDiscoveredMoonsOf
Indicates that the related entities are moons that were the first ones discovered orbiting a particular celestial body.
-
E.
isMoonOf
Indicates that one celestial body is a natural satellite orbiting another body, typically a planet or dwarf planet.
- F. None of above. chosen
Provenance (4 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691f944c81909d4e5d8ef9e494b6 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c062d290448190a2183158ef75d129 |
completed | March 22, 2026, 9:44 p.m. |
Created at: March 22, 2026, 4:44 p.m.