Triple
T3839711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1036 Ganymed |
E93420
|
entity |
| Predicate | argumentOfPerihelion_deg |
P20827
|
FINISHED |
| Object | 132.4 |
—
|
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: 132.4 | Statement: [1036 Ganymed, argumentOfPerihelion_deg, 132.4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: argumentOfPerihelion_deg Context triple: [1036 Ganymed, argumentOfPerihelion_deg, 132.4]
-
A.
argumentOfPerihelion
chosen
Indicates the angular position of an orbiting body's closest-approach point (perihelion) around its orbital path, measured from a reference direction within the orbital plane.
-
B.
perihelionDistance
Indicates the shortest distance between an orbiting body and the Sun along its orbital path.
-
C.
longitudeOfAscendingNode
Indicates the angular position of an orbit’s ascending node measured from a reference direction in the reference plane.
-
D.
meanAnomaly
Indicates the angular position of an orbiting body along its elliptical path, measured from periapsis as if it moved at constant angular speed in a reference circular orbit.
-
E.
orbitalEccentricity
Indicates the degree to which an orbit deviates from a perfect circle, quantifying how elongated the orbital path is.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeba1535c8190b36e2ab2d4514b54 |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74dcecc819098285483ec721b40 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.