Triple
T24807006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat's spiral |
E620680
|
entity |
| Predicate | powerLawExponent |
P157734
|
FINISHED |
| Object | 1/2 |
—
|
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: 1/2 | Statement: [Fermat's spiral, powerLawExponent, 1/2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerLawExponent Context triple: [Fermat's spiral, powerLawExponent, 1/2]
-
A.
typicalExponent
Indicates that one quantity serves as the characteristic or standard exponent associated with another quantity or expression.
-
B.
temperatureDependenceExponent
Indicates how strongly a quantity or process changes in response to variations in temperature, typically expressed as an exponent in a temperature-dependent relationship.
-
C.
exponent
Indicates that one quantity is raised to the power of another, expressing repeated multiplication of a base by itself.
-
D.
powerConcentration
Indicates the degree to which authority or control is centralized in a single entity or small group rather than being widely distributed.
-
E.
isExponentialDistribution
Indicates that a given random variable or dataset follows an exponential probability distribution, typically characterized by a constant hazard rate and memoryless property.
- F. None of above. chosen
Provenance (4 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_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 4:50 a.m.