Triple
T20352243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UGC 6253 |
E496040
|
entity |
| Predicate | interstellarMedium |
P71196
|
FINISHED |
| Object | little or no cold gas |
—
|
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: little or no cold gas | Statement: [UGC 6253, interstellarMedium, little or no cold gas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interstellarMedium Context triple: [UGC 6253, interstellarMedium, little or no cold gas]
-
A.
hasInterstellarMedium
chosen
Indicates that an astronomical object contains, is surrounded by, or is associated with interstellar medium (gas, dust, and plasma) in the space between stars.
-
B.
galacticComponent
Indicates that one entity is a structural part or subregion of a galaxy, such as a disk, bulge, halo, or similar galactic subdivision.
-
C.
stellarDensity
Indicates the concentration of stellar objects within a given region of space, typically measured as the number of stars per unit volume.
-
D.
stellarMass
Indicates the amount of mass an astronomical object has that is contained in its stars.
-
E.
stellarEnvironment
Indicates the surrounding physical and spatial conditions associated with a star, such as its nearby matter, radiation fields, and local cosmic environment.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:25 a.m.