Triple
T12281585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D (via LDC) |
E292727
|
entity |
| Predicate | supportsFeature |
P203
|
FINISHED |
| Object | LLVM optimization passes |
E59978
|
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: LLVM optimization passes | Statement: [D (via LDC), supportsFeature, LLVM optimization passes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LLVM optimization passes Context triple: [D (via LDC), supportsFeature, LLVM optimization passes]
-
A.
LLVM
chosen
LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
-
B.
GCC back end
The GCC back end is the code-generation component of the GNU Compiler Collection that translates language-specific intermediate representations into optimized machine code for various hardware architectures.
-
C.
MLIR
MLIR (Multi-Level Intermediate Representation) is a flexible compiler infrastructure and intermediate representation framework designed to support reusable, extensible optimizations and code generation across diverse domains and hardware targets.
-
D.
CIRCT
CIRCT is an open-source LLVM subproject that provides a set of reusable compiler infrastructure and tools for hardware design and synthesis using MLIR.
-
E.
Partial Evaluation and Program Manipulation
Partial Evaluation and Program Manipulation (PEPM) is a specialized conference and research area in computer science focused on techniques for program transformation, optimization, and analysis through partial evaluation and related methods.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf2b09c81908a11581d33f65be0 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e70dec8819098199fbb54d888c1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.