Triple
T25366552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TD(λ) |
E636114
|
entity |
| Predicate | controlsBiasVarianceTradeoffWith |
P55154
|
FINISHED |
| Object | λ |
—
|
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: λ | Statement: [TD(λ), controlsBiasVarianceTradeoffWith, λ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlsBiasVarianceTradeoffWith Context triple: [TD(λ), controlsBiasVarianceTradeoffWith, λ]
-
A.
regularizationControlledBy
chosen
Indicates that the regularization applied in a process, model, or system is governed, adjusted, or determined by a specific controlling factor or mechanism.
-
B.
requiresBiasVoltage
Indicates that one entity must have a specific bias voltage applied in order for the other entity or process to operate correctly or as intended.
-
C.
controlsComplexityBy
Indicates that one entity manages, limits, or regulates the complexity of another entity, process, or system.
-
D.
hasTradeoff
Indicates that one option or outcome involves a compromise in which gaining certain benefits requires accepting corresponding costs or disadvantages.
-
E.
hasDesignTradeoff
Indicates that one design choice involves compromises or conflicting benefits and drawbacks relative to other possible designs.
- 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 21, 2026, 1:37 p.m.