Triple
T16566421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaia Early Data Release 3 |
E402472
|
entity |
| Predicate | hasMeanProperMotionUncertaintyAtG20 |
P123356
|
FINISHED |
| Object | ~0.5 milliarcseconds per year |
—
|
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: ~0.5 milliarcseconds per year | Statement: [Gaia Early Data Release 3, hasMeanProperMotionUncertaintyAtG20, ~0.5 milliarcseconds per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeanProperMotionUncertaintyAtG20 Context triple: [Gaia Early Data Release 3, hasMeanProperMotionUncertaintyAtG20, ~0.5 milliarcseconds per year]
-
A.
meanProperMotionUncertainty
chosen
Indicates the uncertainty associated with the measured mean proper motion of an object.
-
B.
properMotionRA_masPerYear
Indicates the rate of change in an object's right ascension position on the sky, measured in milliarcseconds per year.
-
C.
properMotionDec
Indicates the rate of change of an object's position over time in the declination (north–south) direction on the celestial sphere.
-
D.
properMotionMeasuredBy
Indicates that the proper motion of an astronomical object has been determined using a specific instrument, survey, or observational method.
-
E.
meanParallaxUncertainty
Indicates the average level of uncertainty or error associated with measured parallax values in a dataset or observation set.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35772255881909f737da89bcd06b8 |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:15 a.m.