Triple
T20612381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S/1989 N4 |
E506477
|
entity |
| Predicate | meanOrbitalRadius_km |
P140761
|
FINISHED |
| Object | 61953 |
—
|
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: 61953 | Statement: [S/1989 N4, meanOrbitalRadius_km, 61953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meanOrbitalRadius_km Context triple: [S/1989 N4, meanOrbitalRadius_km, 61953]
-
A.
meanDiameter_km
Indicates the average diameter of an object or region measured in kilometers.
-
B.
planetOrbitalDistance
Indicates the average distance between a planet and the celestial body it orbits, typically measured along its orbital path.
-
C.
minimumOrbitIntersectionDistanceWithEarth_au
Indicates the smallest distance, measured in astronomical units, between an object's orbit and Earth's orbit at their closest point of approach.
-
D.
hasMeanRadius
Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
-
E.
averageDiameter
Indicates the mean value of the diameters of a set of objects or instances in the relationship.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad94dac8190921c7769a649c724 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:41 a.m.