Triple
T28440570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpha Canis Majoris |
E715697
|
entity |
| Predicate | binarySemiMajorAxis_AU |
P9971
|
FINISHED |
| Object | about 20 |
—
|
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: about 20 | Statement: [Alpha Canis Majoris, binarySemiMajorAxis_AU, about 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: binarySemiMajorAxis_AU Context triple: [Alpha Canis Majoris, binarySemiMajorAxis_AU, about 20]
-
A.
semiMajorAxis
chosen
Indicates the length of the longest radius of an elliptical orbit, measuring the average distance between the orbiting body and the central body.
-
B.
meanOrbitalRadius_km
Indicates the average distance, measured in kilometers, between an orbiting body and the center of the object it orbits.
-
C.
perihelionDistance
Indicates the shortest distance between an orbiting body and the Sun along its orbital path.
-
D.
minimumOrbitIntersectionDistanceWithEarth_au
Indicates the smallest distance, measured in astronomical units, between an object's orbit and Earth's orbit at their closest point of approach.
-
E.
aphelionDistance
Indicates the greatest distance between an orbiting body and the star it orbits, measured at the point of aphelion in its orbit.
- 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 1:45 a.m.