Triple
T24822677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delaunay variables |
E621101
|
entity |
| Predicate | correspondsToOrbitalElement |
P58578
|
FINISHED |
| Object | eccentricity |
—
|
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: eccentricity | Statement: [Delaunay variables, correspondsToOrbitalElement, eccentricity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondsToOrbitalElement Context triple: [Delaunay variables, correspondsToOrbitalElement, eccentricity]
-
A.
isOrbitalTo
Indicates that one entity moves in a curved, repeating path around another entity under the influence of a central force, typically gravity.
-
B.
isOrbital
Indicates that one entity moves in a curved, repeating path around another entity due to gravitational or similar central forces.
-
C.
hasOrbitalCharacteristic
chosen
Indicates that an entity possesses a specific property or feature related to its orbit, such as shape, period, inclination, or other orbital parameters.
-
D.
hasOrbitalPeriod
Indicates that one entity completes a full orbit around another entity within a specified duration.
-
E.
hasOrbitalPlane
Indicates that one entity possesses or is associated with a specific orbital plane in which its orbit lies.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:04 a.m.