Triple
T7658234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epsilon Eridani b |
E173438
|
entity |
| Predicate | semiMajorAxis_AU |
P9971
|
FINISHED |
| Object | about 3.4 |
—
|
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 3.4 | Statement: [Epsilon Eridani b, semiMajorAxis_AU, about 3.4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: semiMajorAxis_AU Context triple: [Epsilon Eridani b, semiMajorAxis_AU, about 3.4]
-
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.
perihelionDistance
Indicates the shortest distance between an orbiting body and the Sun along its orbital path.
-
C.
aphelionDistance
Indicates the greatest distance between an orbiting body and the star it orbits, measured at the point of aphelion in its orbit.
-
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.
maximumElongationFromSun
Indicates the greatest angular separation an object can have from the Sun as seen by an observer, typically measured in degrees along the sky.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.