Triple
T7099972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jovian satellite system |
E165430
|
entity |
| Predicate | hasApproximateNumberOfKnownMoons |
P74907
|
FINISHED |
| Object | over 90 |
—
|
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: over 90 | Statement: [Jovian satellite system, hasApproximateNumberOfKnownMoons, over 90]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfKnownMoons Context triple: [Jovian satellite system, hasApproximateNumberOfKnownMoons, over 90]
-
A.
hasNumberOfKnownMoons
Indicates the relationship that specifies how many moons are known to orbit a given celestial body.
-
B.
numberOfKnownMoons
Indicates the count of moons that are currently known to orbit a given celestial body.
-
C.
numberOfMoons
Indicates the quantity of moons that an astronomical body possesses.
-
D.
hasLargestMoon
Indicates that, among a set of compared entities, this entity possesses the moon with the greatest size.
-
E.
hasNaturalSatellite
Indicates that one celestial body is orbited by another body that occurs naturally as its satellite.
- 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_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. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:42 p.m.