Triple
T21341320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 4461 |
E526197
|
entity |
| Predicate | hasLowStarFormation |
P143778
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [NGC 4461, hasLowStarFormation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowStarFormation Context triple: [NGC 4461, hasLowStarFormation, yes]
-
A.
hasLowLuminosity
Indicates that an entity emits relatively little light or energy compared to a typical or reference level.
-
B.
hasVeryLowMetallicity
Indicates that an entity possesses an extremely low abundance of elements heavier than helium relative to a reference standard.
-
C.
isStarFormingDwarf
Indicates that the subject is a dwarf galaxy currently undergoing active star formation.
-
D.
hasStarFormationEfficiency
Indicates the rate or effectiveness with which available gas in an astronomical system is converted into stars.
-
E.
hasLowMass
Indicates that the subject possesses a relatively small amount of mass compared to a given standard or reference.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba7ce3c8190ba5ded980a9866f2 |
completed | April 26, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:44 p.m.