Triple
T6426363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triton |
E128066
|
entity |
| Predicate | isOnlyLargeMoonWith |
P70813
|
FINISHED |
| Object | retrograde orbit |
—
|
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: retrograde orbit | Statement: [Triton, isOnlyLargeMoonWith, retrograde orbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnlyLargeMoonWith Context triple: [Triton, isOnlyLargeMoonWith, retrograde orbit]
-
A.
largeMoon
Indicates that a moon has a size or diameter significantly greater than a typical or reference moon.
-
B.
isMoonOf
Indicates that one celestial body is a natural satellite orbiting another body, typically a planet or dwarf planet.
-
C.
isOneOfMoonsOf
Indicates that the subject entity is one of the natural satellites (moons) that orbit the object entity.
-
D.
hasLargestMoon
Indicates that, among a set of compared entities, this entity possesses the moon with the greatest size.
-
E.
areLargestMoonsOf
Indicates that the referenced moons are the largest natural satellites belonging to the specified celestial bodies.
- 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.