Triple

T1160723
Position Surface form Disambiguated ID Type / Status
Subject V8 E24483 entity
Predicate feature P374 FINISHED
Object TurboFan optimizing compiler 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: TurboFan optimizing compiler | Statement: [V8, feature, TurboFan optimizing compiler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TurboFan optimizing compiler
Context triple: [V8, feature, TurboFan optimizing compiler]
  • A. 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.
  • B. 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.
  • C. V8
    V8 is Google’s high-performance open-source JavaScript engine, used in Chrome and Node.js to compile and execute JavaScript directly to native machine code.
  • D. V8
    V8 is a popular vegetable-based juice brand known for its blended vegetable and fruit beverages marketed as a nutritious drink option.
  • E. ACM Transactions on Architecture and Code Optimization
    ACM Transactions on Architecture and Code Optimization is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in computer architecture, code generation, optimization, and related performance-improving techniques.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcaf3a9081908bad2eba74dffbc1 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ebcd9788190ae319afc7d63c2e7 completed March 7, 2026, 5:22 p.m.
Created at: March 1, 2026, 7:45 p.m.