Triple
T36489512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DARTS |
E899016
|
entity |
| Predicate | validationObjective |
P185593
|
FINISHED |
| Object | minimize validation loss with respect to architecture parameters |
—
|
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: minimize validation loss with respect to architecture parameters | Statement: [DARTS, validationObjective, minimize validation loss with respect to architecture parameters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: validationObjective Context triple: [DARTS, validationObjective, minimize validation loss with respect to architecture parameters]
-
A.
trainingObjective
Indicates the goal or target outcome that a training process is designed to achieve.
-
B.
evaluationTarget
Indicates that something is the object, subject, or focus being assessed, judged, or analyzed in an evaluation process.
-
C.
controlObjective
Indicates that one entity defines or specifies a control goal or target that another entity is intended to achieve or satisfy.
-
D.
formatObjective
Indicates that an entity specifies or defines the desired formatting style or structure to be achieved for another entity or output.
-
E.
testObjective
Indicates that an entity serves as the goal, purpose, or intended outcome of a test or testing activity.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.