Triple
T18204309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DistilBERT |
E435865
|
entity |
| Predicate | performanceRetention |
P130210
|
FINISHED |
| Object | retains about 97 percent of BERT base performance on GLUE |
—
|
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: retains about 97 percent of BERT base performance on GLUE | Statement: [DistilBERT, performanceRetention, retains about 97 percent of BERT base performance on GLUE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceRetention Context triple: [DistilBERT, performanceRetention, retains about 97 percent of BERT base performance on GLUE]
-
A.
retentionMethod
Indicates the method or strategy used to retain or keep something (such as data, customers, or resources) over time.
-
B.
supportsPersistence
Indicates that one entity enables or provides the capability for another entity’s data or state to be stored and retained over time.
-
C.
dataRetentionPeriod
Indicates the length of time data is stored or kept before it is deleted, archived, or otherwise disposed of.
-
D.
retained
Indicates that one entity keeps possession, control, or continued engagement of another entity over a period of time.
-
E.
permanence
Indicates that a state, condition, or relationship continues to hold over time without significant change or interruption.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e222831081908f7d5500424e3acb |
completed | April 19, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f684e48190b38c64b58c518b6a |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:32 a.m.