Triple
T18204820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XLM-R |
E435876
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | RoBERTa |
—
|
NE NERFINISHED |
Disambiguation candidates (1 decision)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RoBERTa Context triple: [XLM-R, basedOn, RoBERTa]
-
A.
RoBERTa
chosen
RoBERTa is a robustly optimized transformer-based language model developed by Facebook AI that improves upon BERT through enhanced training strategies and larger-scale data.
-
B.
DeBERTa
DeBERTa is a transformer-based language model developed by Microsoft that improves upon BERT and RoBERTa using disentangled attention and enhanced mask decoder mechanisms for superior natural language understanding.
-
C.
DistilBERT
DistilBERT is a smaller, faster, and lighter-weight distilled version of the BERT language model designed to retain most of its performance while being more efficient for practical NLP applications.
-
D.
XLNet
XLNet is a generalized autoregressive pretraining model for natural language processing that improves on BERT by leveraging permutation-based language modeling to better capture bidirectional context.
-
E.
BertModel
BertModel is a transformer-based neural network architecture from the BERT family used primarily for encoding text representations in natural language processing tasks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d8b90dba6481908e119eb9aa4ca0cb |
elicitation | completed |
| NER | batch_69e4e222831081908f7d5500424e3acb |
ner | completed |
Created at: April 10, 2026, 10:32 a.m.