Triple
T4959390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taygeta |
E111366
|
entity |
| Predicate | colorIndexBminusV |
P24818
|
FINISHED |
| Object | about −0.1 |
—
|
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 | Statement: [Taygeta, colorIndexBminusV, about −0.1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorIndexBminusV Context triple: [Taygeta, colorIndexBminusV, about −0.1]
-
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.
reddening_E_BV
Indicates the color excess E(B−V), quantifying the amount of reddening (dust-induced color change) between two photometric bands.
-
C.
bluePrimary_y
Indicates that the entity has blue as its primary color along the y-dimension or vertical axis.
-
D.
apparentMagnitudeV
Indicates the visual brightness of an astronomical object as seen from Earth, measured in the V (visual) band of the electromagnetic spectrum.
-
E.
berryColor
Indicates the color attribute associated with a berry.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.