Triple
T33829771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 206859 |
E867063
|
entity |
| Predicate | hasPhotometricVariabilityPeriod |
P131723
|
FINISHED |
| Object | about 0.1 days |
—
|
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 0.1 days | Statement: [HD 206859, hasPhotometricVariabilityPeriod, about 0.1 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhotometricVariabilityPeriod Context triple: [HD 206859, hasPhotometricVariabilityPeriod, about 0.1 days]
-
A.
hasLightcurveVariations
chosen
Indicates that an object exhibits measurable changes in its brightness over time, as captured in its lightcurve.
-
B.
hasNonRadialPulsations
Indicates that an entity exhibits pulsations or oscillations that are not purely radial, involving non-spherically symmetric modes of variation.
-
C.
hasLightcurveAmplitude
Indicates the measured range of brightness variation (amplitude) in an object's lightcurve over time.
-
D.
isSuspectedVariableStar
Indicates that an astronomical object is believed, based on preliminary or incomplete evidence, to exhibit variability in its brightness over time but has not yet been confirmed as a variable star.
-
E.
radialVelocitySignalPeriodicity
Indicates that the radial velocity measurements of an object exhibit a repeating, periodic signal over time.
- 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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: May 1, 2026, 1:46 a.m.