Triple
T1248824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GPS |
E26827
|
entity |
| Predicate | orbitalType |
P7214
|
FINISHED |
| Object | Medium Earth Orbit |
—
|
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: Medium Earth Orbit | Statement: [GPS, orbitalType, Medium Earth Orbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orbitalType Context triple: [GPS, orbitalType, Medium Earth Orbit]
-
A.
orbitType
chosen
Indicates the specific kind or classification of an object's orbit in relation to the body it revolves around.
-
B.
hasOrbitalRegion
Indicates that one entity occupies, lies within, or is associated with a specific orbital zone or region around another body.
-
C.
orbitalEccentricity
Indicates the degree to which an orbit deviates from a perfect circle, quantifying how elongated the orbital path is.
-
D.
hasOrbitalPlane
Indicates that one entity possesses or is associated with a specific orbital plane in which its orbit lies.
-
E.
orbits
Indicates that one object moves in a curved, usually repetitive path around another object due to a central force such as gravity.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf827e088190a16d845cea14f2c9 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.