Triple
T18204844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XLM-R |
E435876
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | Hugging Face Transformers |
—
|
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: Hugging Face Transformers Context triple: [XLM-R, compatibleWith, Hugging Face Transformers]
-
A.
Hugging Face Transformers
chosen
Hugging Face Transformers is a widely used open-source library that provides state-of-the-art transformer-based models and tools for natural language processing and related machine learning tasks.
-
B.
Hugging Face
Hugging Face is an AI company and open-source community best known for its tools and libraries that make it easy to build, share, and deploy state-of-the-art machine learning models.
-
C.
Hugging Face Tokenizers
Hugging Face Tokenizers is a fast, production-ready library for building and using modern text tokenization pipelines optimized for natural language processing and machine learning models.
-
D.
RoBERTa
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.
-
E.
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.
- 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.