Triple
T19261750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UY Scuti |
E481663
|
entity |
| Predicate | hasPhotometricVariabilityAmplitude |
P51229
|
FINISHED |
| Object | ~1–2 magnitudes in V |
—
|
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: ~1–2 magnitudes in V | Statement: [UY Scuti, hasPhotometricVariabilityAmplitude, ~1–2 magnitudes in V]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhotometricVariabilityAmplitude Context triple: [UY Scuti, hasPhotometricVariabilityAmplitude, ~1–2 magnitudes in V]
-
A.
hasLightcurveAmplitude
chosen
Indicates the measured range of brightness variation (amplitude) in an object's lightcurve over time.
-
B.
lightcurveAmplitude
Indicates the measured range of brightness variation of an object over time in its light curve.
-
C.
radialVelocityAmplitude
Indicates the magnitude of variation in an object's radial (line-of-sight) velocity, typically representing the semi-amplitude of its periodic Doppler shift.
-
D.
hasLightcurveVariations
Indicates that an object exhibits measurable changes in its brightness over time, as captured in its lightcurve.
-
E.
absoluteMagnitudeV
Indicates the intrinsic brightness of an astronomical object in the visual (V) band, standardized to a fixed reference distance (typically 10 parsecs).
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8a022c8190b313e9d11d38e482 |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:28 p.m.