Triple

T18528159
Position Surface form Disambiguated ID Type / Status
Subject HHVM E452770 entity
Predicate hasComponent P35 FINISHED
Object HipHop bytecode interpreter — NE NERFINISHED

How this triple was built (3 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: HipHop bytecode interpreter | Statement: [HHVM, hasComponent, HipHop bytecode interpreter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HipHop bytecode interpreter
Context triple: [HHVM, hasComponent, HipHop bytecode interpreter]
  • A. Jazelle Java bytecode execution (J extension)
    Jazelle Java bytecode execution (J extension) is an ARM architecture extension that allows certain processors to execute Java bytecode directly in hardware to accelerate Java application performance.
  • B. Boogie intermediate verification language
    Boogie intermediate verification language is a low-level, language-agnostic formalism designed to serve as a common backend for program verification tools by expressing programs and their correctness properties for automated reasoning.
  • C. Hack (programming language)
    Hack is a programming language developed by Facebook as a gradually typed, PHP-compatible language that adds static typing, generics, and other modern features for safer and more scalable web development.
  • D. JAM virtual machine
    The JAM virtual machine is an early abstract machine used for executing concurrent functional languages, serving as a foundational design that influenced later systems like the BEAM virtual machine used by Erlang.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HipHop bytecode interpreter
Target entity description: HipHop bytecode interpreter is the component of HHVM that executes compiled PHP (and Hack) bytecode to improve performance over traditional PHP interpreters.
  • A. Jazelle Java bytecode execution (J extension)
    Jazelle Java bytecode execution (J extension) is an ARM architecture extension that allows certain processors to execute Java bytecode directly in hardware to accelerate Java application performance.
  • B. Boogie intermediate verification language
    Boogie intermediate verification language is a low-level, language-agnostic formalism designed to serve as a common backend for program verification tools by expressing programs and their correctness properties for automated reasoning.
  • C. Hack (programming language)
    Hack is a programming language developed by Facebook as a gradually typed, PHP-compatible language that adds static typing, generics, and other modern features for safer and more scalable web development.
  • D. JAM virtual machine
    The JAM virtual machine is an early abstract machine used for executing concurrent functional languages, serving as a foundational design that influenced later systems like the BEAM virtual machine used by Erlang.
  • E. 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.
  • F. None of above. chosen

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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533f9bd1081909743b24e290b7dfe completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.