Triple
T5007433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Styx |
E112530
|
entity |
| Predicate | meanMotionResonanceRatioWithCharon |
P17319
|
FINISHED |
| Object | 3:1 |
—
|
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: 3:1 | Statement: [Styx, meanMotionResonanceRatioWithCharon, 3:1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meanMotionResonanceRatioWithCharon Context triple: [Styx, meanMotionResonanceRatioWithCharon, 3:1]
-
A.
hasOrbitalResonanceWith
chosen
Indicates that two orbiting bodies have orbital periods in a simple integer ratio, causing their gravitational influences to repeat in a regular, synchronized pattern.
-
B.
isTidallyLockedTo
Indicates that one object's rotational period matches its orbital period around another object, so the same side always faces that other object.
-
C.
isTidallyLockedWith
Indicates that two astronomical bodies always show the same face to each other because one’s rotation period matches its orbital period around the other.
-
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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.