Triple
T18775036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UGC 245 |
E459113
|
entity |
| Predicate | hasVeryLowMetallicity |
P132932
|
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: [UGC 245, hasVeryLowMetallicity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVeryLowMetallicity Context triple: [UGC 245, hasVeryLowMetallicity, true]
-
A.
hasLowLuminosity
Indicates that an entity emits relatively little light or energy compared to a typical or reference level.
-
B.
hasLowMass
Indicates that the subject possesses a relatively small amount of mass compared to a given standard or reference.
-
C.
hasSimilarMetallicityTo
Indicates that two entities share a comparable or closely matching metallicity (i.e., abundance of elements heavier than helium).
-
D.
hasVerticalMetallicityGradient
Indicates that the metallicity of a system changes systematically as a function of vertical position or height.
-
E.
hasVeryLowSurfaceBrightness
Indicates that an entity exhibits an extremely faint or low level of brightness across its visible surface.
- F. None of above. chosen
Provenance (4 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933ad4288190b17e5fad57d8417d |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:52 a.m.