Triple
T24806969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat's spiral |
E620680
|
entity |
| Predicate | radiusGrowthLaw |
P37890
|
FINISHED |
| Object | radius grows with the square root of the angle |
—
|
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: radius grows with the square root of the angle | Statement: [Fermat's spiral, radiusGrowthLaw, radius grows with the square root of the angle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radiusGrowthLaw Context triple: [Fermat's spiral, radiusGrowthLaw, radius grows with the square root of the angle]
-
A.
growthPolicy
Indicates a rule or strategy that governs how something is allowed or expected to grow or expand over time.
-
B.
radiusRatio
Indicates the proportional relationship between one radius and another, typically expressing how large one is relative to the other.
-
C.
growthProperty
chosen
Indicates that one entity characterizes, constrains, or quantifies how another entity grows or changes in magnitude over some parameter (such as time, size, or input).
-
D.
ringRadius
Indicates the size of a ring by specifying the distance from its center to its outer edge.
-
E.
growthMethod
Indicates the method or process by which something increases, develops, or expands 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:50 a.m.