Triple
T31797327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heisenberg–Euler effective Lagrangian |
E811631
|
entity |
| Predicate | nonlinearityBecomesSignificantNear |
P147442
|
FINISHED |
| Object | critical QED field strength |
—
|
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: critical QED field strength | Statement: [Heisenberg–Euler effective Lagrangian, nonlinearityBecomesSignificantNear, critical QED field strength]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonlinearityBecomesSignificantNear Context triple: [Heisenberg–Euler effective Lagrangian, nonlinearityBecomesSignificantNear, critical QED field strength]
-
A.
typeOfNonlinearity
Indicates the specific kind or form of nonlinearity that characterizes how one entity behaves or responds in relation to another.
-
B.
linearity
Indicates that a relationship between quantities preserves addition and scalar multiplication, so outputs change in direct proportion to inputs.
-
C.
nonDifferentiableAt
Indicates that a function fails to have a well-defined derivative at a specific point.
-
D.
nonperturbativeIn
chosen
Indicates that something occurs, is treated, or is valid in a nonperturbative regime or framework within a specified context or system.
-
E.
isNonUniform
Indicates that the property, distribution, or structure of something varies across its domain rather than remaining constant or uniform.
- 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac1e180c81909b949e017345304d |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:41 p.m.