Triple
T14911035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tukey's biweight |
E371259
|
entity |
| Predicate | tuningParameterControls |
P29977
|
FINISHED |
| Object | degree of downweighting of large residuals |
—
|
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: degree of downweighting of large residuals | Statement: [Tukey's biweight, tuningParameterControls, degree of downweighting of large residuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tuningParameterControls Context triple: [Tukey's biweight, tuningParameterControls, degree of downweighting of large residuals]
-
A.
tuningMethod
Indicates the method or approach used to adjust or optimize something’s parameters or performance.
-
B.
regularizationControlledBy
Indicates that the regularization applied in a process, model, or system is governed, adjusted, or determined by a specific controlling factor or mechanism.
-
C.
controlsType
Indicates that one entity has authority over, or the ability to direct or regulate, the type or category of another entity.
-
D.
tuning
chosen
Indicates the adjustment or calibration of something’s parameters or settings to achieve desired performance or behavior.
-
E.
controlsWith
Indicates that one entity exercises authority, direction, or regulatory power over another entity through specific means or mechanisms.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61c6b9c8190a92934d49b98fe46 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:26 a.m.