Triple
T3654274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Fence |
E77492
|
entity |
| Predicate | orbitsCovered |
P50723
|
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 Fence, orbitsCovered, low Earth orbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orbitsCovered Context triple: [Space Fence, orbitsCovered, low Earth orbit]
-
A.
orbits
Indicates that one object moves in a curved, usually repetitive path around another object due to a central force such as gravity.
-
B.
coOrbitsWith
Indicates that two celestial bodies share the same or closely related orbital path around a common central object.
-
C.
totalOrbits
Indicates the total number of orbital paths or revolutions one entity completes around another within a defined system or timeframe.
-
D.
numberOfOrbitalPlanes
Indicates the specific count of distinct orbital planes associated with an object or system.
-
E.
orbitsCompletedAroundMars
Indicates the number of full orbital revolutions an object has completed around Mars.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b9164c81908938a4338430d193 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adbae14d488190a6024548979c6faf |
completed | March 8, 2026, 6:07 p.m. |
Created at: March 8, 2026, 3:24 p.m.