Triple
T33566950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GRS80 |
E859784
|
entity |
| Predicate | semiMajorAxisUnit |
P176893
|
FINISHED |
| Object | metre |
—
|
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: metre | Statement: [GRS80, semiMajorAxisUnit, metre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: semiMajorAxisUnit Context triple: [GRS80, semiMajorAxisUnit, metre]
-
A.
semiMajorAxis
Indicates the length of the longest radius of an elliptical orbit, measuring the average distance between the orbiting body and the central body.
-
B.
semiMajorAxisShorterThan
Indicates that the semi-major axis of one object’s orbit is shorter (smaller in length) than that of another object.
-
C.
meanOrbitalRadius_km
Indicates the average distance, measured in kilometers, between an orbiting body and the center of the object it orbits.
-
D.
isMajorUnitOf
Indicates that one unit functions as the primary or principal component within a larger organizational or structural context of another entity.
-
E.
minorAxisAngularSize_arcmin
Indicates the apparent angular size, measured in arcminutes, of the minor axis of an object as seen on the sky.
- F. None of above. chosen
Provenance (4 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_69f3497c1d288190a844ea699914e038 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f70b0ca081908b24a98937e6ef66 |
completed | May 3, 2026, 7:19 a.m. |
Created at: May 1, 2026, 1:40 a.m.