Triple
T19395716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R Doradus |
E485182
|
entity |
| Predicate | angularDiameter_mas |
P6952
|
FINISHED |
| Object | ~57 |
—
|
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: ~57 | Statement: [R Doradus, angularDiameter_mas, ~57]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: angularDiameter_mas Context triple: [R Doradus, angularDiameter_mas, ~57]
-
A.
minorAxisAngularSize_arcmin
Indicates the apparent angular size, measured in arcminutes, of the minor axis of an object as seen on the sky.
-
B.
angularSize
chosen
Indicates the apparent size of an object as seen from a given point, typically measured as the angle it subtends at the observer.
-
C.
meanDiameter_km
Indicates the average diameter of an object or region measured in kilometers.
-
D.
diameter_lightYears
Indicates the distance across an object or region measured in light-years, typically from one side through the center to the opposite side.
-
E.
primaryMirrorDiameter
Indicates the diameter of the primary mirror used in an optical system or instrument.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b4875ac8190a9c184c075b5db16 |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.