Triple
T3724006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varuna |
E81704
|
entity |
| Predicate | hasInclination |
P9974
|
FINISHED |
| Object | approximately 17 degrees |
—
|
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 17 degrees | Statement: [Varuna, hasInclination, approximately 17 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInclination Context triple: [Varuna, hasInclination, approximately 17 degrees]
-
A.
hasIncline
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
B.
tiltingCapability
Indicates the ability of one entity to tilt or be tilted relative to another or to a reference orientation.
-
C.
inclinationToEarthEquator
Indicates the angle between an object's orbital or rotational plane and Earth's equatorial plane.
-
D.
inclinationToEcliptic
chosen
Indicates the angle between an object's orbital plane and the plane of the ecliptic, describing how tilted its orbit is relative to Earth's orbital plane.
-
E.
hasAxialTilt
Indicates that one celestial body’s rotational axis is tilted at a certain angle relative to its orbital plane around another body.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf3f2ec8190a3a8f363cfb762f3 |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc0452f5081909c79e114a86cce8c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.