Triple
T5406927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carina Dwarf Galaxy |
E120914
|
entity |
| Predicate | hasSurfaceBrightness |
P60001
|
FINISHED |
| Object | low surface brightness |
—
|
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: low surface brightness | Statement: [Carina Dwarf Galaxy, hasSurfaceBrightness, low surface brightness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurfaceBrightness Context triple: [Carina Dwarf Galaxy, hasSurfaceBrightness, low surface brightness]
-
A.
surfaceBrightnessClass
chosen
Indicates the qualitative classification of how bright an extended object (such as a galaxy) appears per unit area on the sky.
-
B.
surfaceBrightnessProfile
Indicates the distribution of brightness as a function of position across a surface, typically describing how intensity changes from one region to another.
-
C.
maximumBrightness
Indicates the highest level of brightness that an entity can reach or exhibit.
-
D.
hasPrimarySurface
Indicates that one entity serves as the main or principal surface associated with another entity.
-
E.
apparentBrightness
Indicates how bright one object appears from the perspective or location of another, regardless of its actual intrinsic luminosity.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8793ab3c81909992b257d462a554 |
completed | March 20, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:05 p.m.