Triple
T23395076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peg DIG |
E559333
|
entity |
| Predicate | hasMassToLightRatio |
P57284
|
FINISHED |
| Object | high mass-to-light ratio (dark-matter dominated) |
—
|
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: high mass-to-light ratio (dark-matter dominated) | Statement: [Peg DIG, hasMassToLightRatio, high mass-to-light ratio (dark-matter dominated)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMassToLightRatio Context triple: [Peg DIG, hasMassToLightRatio, high mass-to-light ratio (dark-matter dominated)]
-
A.
massToLightRatio
chosen
Indicates the relationship between an object's total mass and its luminosity, expressing how much mass corresponds to each unit of emitted light.
-
B.
hasGasToStellarMassRatio
Indicates the proportion between an object's gas mass and its stellar mass.
-
C.
massRatioToSagittariusA*
Indicates the proportional relationship between an entity’s mass and the mass of the black hole Sagittarius A*.
-
D.
hasStellarMassClass
Indicates the classification relationship that assigns an object to a specific category based on its stellar mass.
-
E.
hasApproximateMassRatio
Indicates that one entity’s mass is approximately proportional to, or in a specified ratio with, the mass of another entity, within an accepted tolerance.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4db1c888190ace5d58bcc8645c1 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:36 p.m.