Triple
T19281115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 19 |
E482188
|
entity |
| Predicate | showsDifferentialReddening |
P57005
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Messier 19, showsDifferentialReddening, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsDifferentialReddening Context triple: [Messier 19, showsDifferentialReddening, true]
-
A.
reddening_E_BV
Indicates the color excess E(B−V), quantifying the amount of reddening (dust-induced color change) between two photometric bands.
-
B.
hasDustExtinction
chosen
Indicates that an entity exhibits or is subject to attenuation of light due to the presence of intervening dust.
-
C.
usesColorDifferenceSignals
Indicates that one entity employs differences in color as signals to convey information or communicate.
-
D.
isDifferential
Indicates that one quantity represents the infinitesimal change or derivative of another with respect to a given variable.
-
E.
apparentMagnitude
Indicates the observed brightness of an astronomical object as seen from Earth, on a logarithmic scale where lower values correspond to brighter appearances.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbff1e6c819094ae6a5ad40adb65 |
completed | April 20, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:30 p.m.