Triple

T2716476
Position Surface form Disambiguated ID Type / Status
Subject LLVM E59978 entity
Predicate usesIntermediateRepresentation P41810 FINISHED
Object LLVM IR
LLVM IR is a low-level, strongly typed intermediate representation designed to enable portable, optimization-friendly compilation across multiple programming languages and hardware targets within the LLVM compiler framework.
E59978 NE FINISHED

How this triple was built (5 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 IR | Statement: [LLVM, usesIntermediateRepresentation, LLVM IR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LLVM IR
Context triple: [LLVM, usesIntermediateRepresentation, LLVM IR]
  • A. LLVM
    LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
  • B. Bytecode Alliance
    Bytecode Alliance is a nonprofit industry consortium focused on advancing secure, modular, and portable software through technologies built around WebAssembly.
  • C. Clang
    Clang is a modern, open-source C, C++, and Objective-C compiler front end for the LLVM project, known for its fast compilation, expressive diagnostics, and modular design.
  • D. Microsoft Intermediate Language
    Microsoft Intermediate Language is the low-level, platform-independent bytecode used by the .NET Framework’s Common Language Runtime as the compilation target for .NET languages before just-in-time compilation to native machine code.
  • E. LLDB
    LLDB is a modern, high-performance debugger primarily used with the LLVM toolchain for languages like C, C++, and Objective-C.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LLVM IR
Triple: [LLVM, usesIntermediateRepresentation, LLVM IR]
Generated description
LLVM IR is a low-level, strongly typed intermediate representation designed to enable portable, optimization-friendly compilation across multiple programming languages and hardware targets within the LLVM compiler framework.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LLVM IR
Target entity description: LLVM IR is a low-level, strongly typed intermediate representation designed to enable portable, optimization-friendly compilation across multiple programming languages and hardware targets within the LLVM compiler framework.
  • 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. Bytecode Alliance
    Bytecode Alliance is a nonprofit industry consortium focused on advancing secure, modular, and portable software through technologies built around WebAssembly.
  • C. Clang
    Clang is a modern, open-source C, C++, and Objective-C compiler front end for the LLVM project, known for its fast compilation, expressive diagnostics, and modular design.
  • D. Microsoft Intermediate Language
    Microsoft Intermediate Language is the low-level, platform-independent bytecode used by the .NET Framework’s Common Language Runtime as the compilation target for .NET languages before just-in-time compilation to native machine code.
  • E. LLDB
    LLDB is a modern, high-performance debugger primarily used with the LLVM toolchain for languages like C, C++, and Objective-C.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesIntermediateRepresentation
Context triple: [LLVM, usesIntermediateRepresentation, LLVM IR]
  • A. usesCompilerInfrastructure
    Indicates that one entity builds upon or relies on another entity’s compiler framework or toolchain to perform its compilation-related tasks.
  • B. isInterpretedBy
    Indicates that something (such as data, a work, or a signal) is given meaning, understanding, or explanation by a particular agent or process.
  • C. usesComputationMethod
    Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
  • D. canBeImplementedWith
    Indicates that one entity is capable of being realized, executed, or fulfilled through the use or application of another entity.
  • E. compiledTo
    Indicates that one artifact (such as source code) has been transformed into another, typically lower-level or executable form, through a compilation process.
  • F. None of above. chosen

Provenance (7 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda964d4881908179b2a1b16411e4 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68c3ccc81909995d17651af27ed completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb77f60c08190928bd6a79fc82e8b completed March 10, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_69afb8205840819084ede24192bb0aa3 completed March 10, 2026, 6:20 a.m.
PD Predicate disambiguation batch_69abd8240920819087a812d816a55edb completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd949c120819099a9d56eb71a0339 completed March 7, 2026, 7:52 a.m.
Created at: March 6, 2026, 9:55 p.m.