Triple
T18443341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UGC 9405 |
E450589
|
entity |
| Predicate | hasStellarMassClass |
P131626
|
FINISHED |
| Object | low-mass galaxy |
—
|
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-mass galaxy | Statement: [UGC 9405, hasStellarMassClass, low-mass galaxy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStellarMassClass Context triple: [UGC 9405, hasStellarMassClass, low-mass galaxy]
-
A.
hasStellarSpectrum
Indicates that an astronomical object exhibits a particular stellar spectrum characterizing its emitted light across wavelengths.
-
B.
stellarMass
Indicates the amount of mass an astronomical object has that is contained in its stars.
-
C.
hasGasToStellarMassRatio
Indicates the proportion between an object's gas mass and its stellar mass.
-
D.
hasStarFormationMode
Indicates the specific manner or process by which star formation occurs in a given astronomical system or region.
-
E.
containsStellarPopulation
Indicates that one astronomical object includes or encompasses a group of stars as part of its stellar content.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c12a0248190a848a1fe833a1975 |
completed | April 19, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:30 a.m.