Triple
T11000545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun-synchronous orbit |
E259991
|
entity |
| Predicate | hasNodalPrecessionRate |
P27812
|
FINISHED |
| Object | approximately 360 degrees per year |
—
|
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: approximately 360 degrees per year | Statement: [Sun-synchronous orbit, hasNodalPrecessionRate, approximately 360 degrees per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNodalPrecessionRate Context triple: [Sun-synchronous orbit, hasNodalPrecessionRate, approximately 360 degrees per year]
-
A.
nodePrecessionPeriod
chosen
Indicates the duration of time it takes for the line of nodes of an orbit to complete one full precessional cycle relative to a reference frame.
-
B.
hasRotationalVelocityKmPerSec
Indicates that an entity possesses a rotational speed measured in kilometers per second.
-
C.
hasObliquityPeriod
Indicates the relationship between an object and the duration of its axial tilt (obliquity) cycle.
-
D.
hasOrbitalPeriod
Indicates that one entity completes a full orbit around another entity within a specified duration.
-
E.
hasRotationalVelocity
Indicates that an entity is rotating and specifies the rate and direction of its angular motion around an axis.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d68b608190a8d016b9383e82f8 |
completed | April 9, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.