Triple
T1927138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vostok 1 |
E40857
|
entity |
| Predicate | inclinationDegrees |
P9973
|
FINISHED |
| Object | approx 64.95 |
—
|
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: approx 64.95 | Statement: [Vostok 1, inclinationDegrees, approx 64.95]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inclinationDegrees Context triple: [Vostok 1, inclinationDegrees, approx 64.95]
-
A.
inclinationToEcliptic
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.
-
B.
inclinationToEarthEquator
chosen
Indicates the angle between an object's orbital or rotational plane and Earth's equatorial plane.
-
C.
hasIncline
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
D.
declination
Indicates the angular deviation of one direction or object from a reference plane or axis, typically measuring how far it is tilted or offset.
-
E.
slopeType
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb263cdb8819084d0bda98a2a71e0 |
completed | March 7, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.