Triple
T24806415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorenz attractor |
E620668
|
entity |
| Predicate | typicalParameterSigma |
P97142
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Lorenz attractor, typicalParameterSigma, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalParameterSigma Context triple: [Lorenz attractor, typicalParameterSigma, 10]
-
A.
parametrizes
chosen
Indicates that one entity defines or controls the variable parameters that determine the behavior, form, or configuration of another entity.
-
B.
typicalDampingFactor
Indicates the usual or characteristic level of damping applied in a system or process, describing how strongly motion or oscillations are typically reduced.
-
C.
typicalMeasure
Indicates the standard or characteristic quantitative measure typically associated with something, such as its usual size, weight, duration, or other magnitude.
-
D.
typicalExponent
Indicates that one quantity serves as the characteristic or standard exponent associated with another quantity or expression.
-
E.
typicalGainType
Indicates the usual or characteristic type of gain associated with an entity, such as the standard way value or profit is typically obtained.
- 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_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 18, 2026, 4:50 a.m.