Triple
T5966591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pegasus Dwarf Irregular Galaxy |
E132767
|
entity |
| Predicate | gasToStellarMassRatio |
P60654
|
FINISHED |
| Object | of order unity or higher |
—
|
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: of order unity or higher | Statement: [Pegasus Dwarf Irregular Galaxy, gasToStellarMassRatio, of order unity or higher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gasToStellarMassRatio Context triple: [Pegasus Dwarf Irregular Galaxy, gasToStellarMassRatio, of order unity or higher]
-
A.
hasGasToStellarMassRatio
chosen
Indicates the proportion between an object's gas mass and its stellar mass.
-
B.
massToLightRatio
Indicates the relationship between an object's total mass and its luminosity, expressing how much mass corresponds to each unit of emitted light.
-
C.
stellarMass
Indicates the amount of mass an astronomical object has that is contained in its stars.
-
D.
stellarMass_solarMasses
Indicates the mass of a star expressed as a multiple of the Sun’s mass.
-
E.
starFormationRate
Indicates the rate at which new stars are being formed within a given astronomical region or object over time.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:03 p.m.