Triple
T19260691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milky Way dark matter halo |
E481640
|
entity |
| Predicate | oftenModeledWith |
P113729
|
FINISHED |
| Object | Navarro–Frenk–White profile |
—
|
NE NERFINISHED |
How this triple was built (3 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: Navarro–Frenk–White profile | Statement: [Milky Way dark matter halo, oftenModeledWith, Navarro–Frenk–White profile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navarro–Frenk–White profile Context triple: [Milky Way dark matter halo, oftenModeledWith, Navarro–Frenk–White profile]
-
A.
Navarro–Frenk–White profile
chosen
The Navarro–Frenk–White profile is a widely used mathematical model describing the characteristic density distribution of dark matter halos in cosmology and galaxy formation studies.
-
B.
Sérsic profile
The Sérsic profile is a mathematical model that describes how the intensity of light from a galaxy varies with distance from its center, widely used to characterize galaxy structure and morphology.
-
C.
Einasto density profile
The Einasto density profile is a mathematical model used in astrophysics to describe how the density of dark matter and stars varies smoothly with distance from the centers of galaxies and galaxy clusters.
-
D.
Sérsic index
The Sérsic index is a parameter that characterizes how the intensity of light in a galaxy varies with radius, widely used to describe and classify galaxy surface brightness profiles.
-
E.
Faber–Jackson relation
The Faber–Jackson relation is an empirical correlation in astronomy that links the luminosity of an elliptical galaxy to the velocity dispersion of its stars, providing a key tool for estimating galactic distances and masses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenModeledWith Context triple: [Milky Way dark matter halo, oftenModeledWith, Navarro–Frenk–White profile]
-
A.
modeledWith
chosen
Indicates that something is represented, simulated, or described using a particular model, method, or modeling technique.
-
B.
possibleModel
Indicates that one entity can serve as a potential or candidate model or template for another entity.
-
C.
oftenStatedWith
Indicates that one statement, fact, or expression is frequently mentioned or asserted together with another.
-
D.
usesModelsType
Indicates that one entity employs or relies on a specific type or category of models in its operation or behavior.
-
E.
associatedWithMode
Indicates a relationship in which something is linked or connected to a particular mode, method, or manner of operation or behavior.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb890e7c8190beba407f63459382 |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:28 p.m.