Triple

T18704529
Position Surface form Disambiguated ID Type / Status
Subject Macroscopic Data Structure Analysis and Optimization E457336 entity
Predicate uses P98 FINISHED
Object LLVM compiler infrastructure NE NERFINISHED

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: [Macroscopic Data Structure Analysis and Optimization, uses, LLVM compiler infrastructure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LLVM compiler infrastructure
Context triple: [Macroscopic Data Structure Analysis and Optimization, uses, 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. Falcon JIT compiler
    Falcon JIT compiler is a high-performance Java just-in-time compiler developed by Azul Systems to optimize and accelerate JVM-based applications.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671665bc8190b9b4a4ce4ec5b2eb completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:49 a.m.