Triple
T21818827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beta Cephei |
E538669
|
entity |
| Predicate | hasPhotometricBandVariability |
P131723
|
FINISHED |
| Object | optical |
—
|
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: optical | Statement: [Beta Cephei, hasPhotometricBandVariability, optical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhotometricBandVariability Context triple: [Beta Cephei, hasPhotometricBandVariability, optical]
-
A.
hasLightcurveVariations
chosen
Indicates that an object exhibits measurable changes in its brightness over time, as captured in its lightcurve.
-
B.
hasPhotometry
Indicates that an entity possesses or is associated with photometric data or measurements.
-
C.
hasVariability
Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
-
D.
isVariableStar
Indicates that an astronomical object exhibits intrinsic brightness variations over time, classifying it as a variable star.
-
E.
hasLightcurveMeasurements
Indicates that an entity has associated lightcurve measurements, representing recorded variations in its brightness 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07ccd0d908190a43af4fcc7d6ca03 |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:54 p.m.