Triple
T11958382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAG Fortran Compiler |
E284608
|
entity |
| Predicate | supportsLanguageStandard |
P55177
|
FINISHED |
| Object | Fortran 2018 |
E59594
|
NE 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: Fortran 2018 | Statement: [NAG Fortran Compiler, supportsLanguageStandard, Fortran 2018]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fortran 2018 Context triple: [NAG Fortran Compiler, supportsLanguageStandard, Fortran 2018]
-
A.
Fortran
chosen
Fortran is a high-level programming language, particularly strong in numerical and scientific computing, widely used for engineering, physics, and high-performance applications.
-
B.
NAG Fortran Compiler
NAG Fortran Compiler is a commercial, standards-focused Fortran compiler from the Numerical Algorithms Group, widely used for its rigorous support of modern Fortran features and robust error checking.
-
C.
Intel Fortran Compiler
Intel Fortran Compiler is a high-performance, proprietary Fortran compiler from Intel widely used for scientific, engineering, and high-performance computing applications.
-
D.
CUDA Fortran
CUDA Fortran is an extension of the Fortran programming language that enables developers to write and run parallel code on NVIDIA GPUs using the CUDA architecture.
-
E.
Algol 68R
Algol 68R is a revised, more practical and implementable version of the Algol 68 programming language, created to simplify and clarify the original language’s complex design.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903681a00819098c2b5260e2ef834 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49cf688448190839f574c85784c98 |
completed | May 1, 2026, 12:30 p.m. |
Created at: April 8, 2026, 9:45 p.m.