Triple
T5541443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sterope I |
E145298
|
entity |
| Predicate | hasColorIndexBMinusV |
P24818
|
FINISHED |
| Object | about −0.06 |
—
|
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 −0.06 | Statement: [Sterope I, hasColorIndexBMinusV, about −0.06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorIndexBMinusV Context triple: [Sterope I, hasColorIndexBMinusV, about −0.06]
-
A.
colorIndexB−V
chosen
Indicates the difference between an object's blue (B) and visual (V) magnitudes, representing its color and thus its temperature or spectral characteristics.
-
B.
hasUminusBColorIndex
Indicates that there is a specified U−B color index value characterizing the color difference between two photometric bands in a subject.
-
C.
reddening_E_BV
Indicates the color excess E(B−V), quantifying the amount of reddening (dust-induced color change) between two photometric bands.
-
D.
bayerDesignation
Indicates the assignment of a star’s Bayer designation, linking a star to its specific Greek-letter-plus-constellation label used in astronomy.
-
E.
apparentMagnitudeV
Indicates the visual brightness of an astronomical object as seen from Earth, measured in the V (visual) band of the electromagnetic spectrum.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc66cc08190b9b2a62098ecbdb1 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.