Triple
T23555093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivchenko AI-20 |
E578163
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object | AI-20M |
—
|
NE NERFINISHED |
How this triple was built (3 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: AI-20M | Statement: [Ivchenko AI-20, variant, AI-20M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AI-20M Context triple: [Ivchenko AI-20, variant, AI-20M]
-
A.
Hugging Face Datasets
Hugging Face Datasets is an open-source library that provides a large collection of ready-to-use datasets and efficient data loading tools for machine learning and natural language processing workflows.
-
B.
Common Voice dataset
The Common Voice dataset is a large, open-source multilingual speech corpus created by Mozilla to support and democratize voice recognition research and technology.
-
C.
WMT English-French dataset
The WMT English-French dataset is a large-scale parallel corpus of English–French sentence pairs widely used as a benchmark for training and evaluating machine translation systems.
-
D.
Common Crawl
Common Crawl is a massive, publicly available web archive that regularly crawls and stores petabytes of web page data for use in research and large-scale data analysis.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AI-20M Target entity description: AI-20M is an improved variant of the Soviet Ivchenko AI-20 turboprop aircraft engine, offering enhanced performance and reliability over the original model.
-
A.
Hugging Face Datasets
Hugging Face Datasets is an open-source library that provides a large collection of ready-to-use datasets and efficient data loading tools for machine learning and natural language processing workflows.
-
B.
Common Voice dataset
The Common Voice dataset is a large, open-source multilingual speech corpus created by Mozilla to support and democratize voice recognition research and technology.
-
C.
WMT English-French dataset
The WMT English-French dataset is a large-scale parallel corpus of English–French sentence pairs widely used as a benchmark for training and evaluating machine translation systems.
-
D.
Common Crawl
Common Crawl is a massive, publicly available web archive that regularly crawls and stores petabytes of web page data for use in research and large-scale data analysis.
-
E.
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.
- F. None of above. chosen
Provenance (2 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed253788190ba75109af0e91b37 |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:12 p.m.