Triple

T2716482
Position Surface form Disambiguated ID Type / Status
Subject LLVM E59978 entity
Predicate supportsLanguageFrontend P2177 FINISHED
Object Rust (via rustc) E17650 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: Rust (via rustc) | Statement: [LLVM, supportsLanguageFrontend, Rust (via rustc)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rust (via rustc)
Context triple: [LLVM, supportsLanguageFrontend, Rust (via rustc)]
  • A. Rust chosen
    Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
  • B. rustup
    rustup is the official Rust toolchain installer and version manager that lets developers easily install, update, and switch between Rust compilers and associated tools.
  • C. Rust Foundation
    The Rust Foundation is a non-profit organization that supports the development, ecosystem, and community of the Rust programming language.
  • D. 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.
  • E. LLVM
    LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1fc30c81909ac06588d50abdf8 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68c3ccc81909995d17651af27ed completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.