Triple
T23185874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 61 Cygni |
E579591
|
entity |
| Predicate | semiMajorAxis_arcsec |
P9971
|
FINISHED |
| Object | about 24.5 |
—
|
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 24.5 | Statement: [61 Cygni, semiMajorAxis_arcsec, about 24.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: semiMajorAxis_arcsec Context triple: [61 Cygni, semiMajorAxis_arcsec, about 24.5]
-
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.
minorAxisAngularSize_arcmin
Indicates the apparent angular size, measured in arcminutes, of the minor axis of an object as seen on the sky.
-
C.
semiMajorAxisShorterThan
Indicates that the semi-major axis of one object’s orbit is shorter (smaller in length) than that of another object.
-
D.
meanOrbitalRadius_km
Indicates the average distance, measured in kilometers, between an orbiting body and the center of the object it orbits.
-
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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f7230208190820acf52f537b3ff |
completed | April 29, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:05 p.m.