Triple
T19260690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milky Way dark matter halo |
E481640
|
entity |
| Predicate | hasDensityProfile |
P133951
|
FINISHED |
| Object | decreasing with radius |
—
|
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: decreasing with radius | Statement: [Milky Way dark matter halo, hasDensityProfile, decreasing with radius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDensityProfile Context triple: [Milky Way dark matter halo, hasDensityProfile, decreasing with radius]
-
A.
hasRadialDensityProfile
chosen
Indicates that an entity is characterized by a distribution of density that varies as a function of distance from a central point or axis.
-
B.
hasDensityParameter
Indicates that an entity is associated with a specific density-related parameter or value used to characterize its density properties.
-
C.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
-
D.
hasSurfaceDensity
Indicates that one entity possesses or is characterized by a specific amount of mass or quantity distributed per unit area on its surface.
-
E.
hasCentralDensity
Indicates that an entity possesses a specified value for its density at the central or core region.
- 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.