Triple

T12281190
Position Surface form Disambiguated ID Type / Status
Subject SanitizerCoverage E292719 entity
Predicate implementedIn P2539 FINISHED
Object LLVM compiler infrastructure 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 compiler infrastructure | Statement: [SanitizerCoverage, implementedIn, LLVM compiler infrastructure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LLVM compiler infrastructure
Context triple: [SanitizerCoverage, implementedIn, LLVM compiler infrastructure]
  • 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. SUIF compiler infrastructure
    SUIF compiler infrastructure is a widely used, extensible research framework for building and experimenting with advanced optimizing compilers and program analysis tools.
  • C. Compilers: Principles, Techniques, and Tools
    Compilers: Principles, Techniques, and Tools is a foundational computer science textbook that systematically covers the theory and practice of compiler design and implementation.
  • D. Multi-Level Intermediate Representation
    Multi-Level Intermediate Representation is a flexible compiler infrastructure within the LLVM project designed to support multiple abstraction levels and domain-specific optimizations in a unified IR framework.
  • E. Bytecode Alliance
    Bytecode Alliance is a nonprofit industry consortium focused on advancing secure, modular, and portable software through technologies built around WebAssembly.
  • 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_69f684ce31808190b66bd0ba1d9d2862 completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:52 p.m.