Triple
T3918871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Network |
E88909
|
entity |
| Predicate | orbitsServed |
P52569
|
FINISHED |
| Object | low 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: low Earth orbit | Statement: [Space Network, orbitsServed, low Earth orbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orbitsServed Context triple: [Space Network, orbitsServed, low Earth orbit]
-
A.
orbitsCovered
Indicates that one entity completes or spans a specified number of orbital revolutions around another entity.
-
B.
orbits
Indicates that one object moves in a curved, usually repetitive path around another object due to a central force such as gravity.
-
C.
coOrbitsWith
Indicates that two celestial bodies share the same or closely related orbital path around a common central object.
-
D.
totalOrbits
Indicates the total number of orbital paths or revolutions one entity completes around another within a defined system or timeframe.
-
E.
servesDestinationCount
Indicates the number of distinct destinations that an entity (such as a service, route, or provider) serves.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee75eedcc81908088ff4dbb8be56b |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef18748648190b85e62f7796ff4b4 |
completed | March 9, 2026, 4:12 p.m. |
Created at: March 9, 2026, 3:22 p.m.