Triple
T9793583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Einasto profile |
E237662
|
entity |
| Predicate | scaleBehavior |
P58733
|
FINISHED |
| Object | logarithmic slope varies continuously 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: logarithmic slope varies continuously with radius | Statement: [Einasto profile, scaleBehavior, logarithmic slope varies continuously with radius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleBehavior Context triple: [Einasto profile, scaleBehavior, logarithmic slope varies continuously with radius]
-
A.
scalingProperty
chosen
Indicates how a quantity or behavior changes in proportion to changes in another variable, typically under resizing or rescaling conditions.
-
B.
scalePosition
Indicates the relative location or index of an element within a defined scale or ordered measurement framework.
-
C.
energyScaleBehavior
Indicates how a quantity or system changes or responds when the overall energy scale of the situation is varied.
-
D.
spaceBehavior
Indicates how an entity behaves, operates, or is arranged within a given space or spatial context.
-
E.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda347b6bc8190a99b7dec1650cd46 |
completed | April 1, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.