Triple

T1166470
Position Surface form Disambiguated ID Type / Status
Subject Mozilla Firefox E24810 entity
Predicate programmingLanguage P1592 FINISHED
Object Rust 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 | Statement: [Mozilla Firefox, programmingLanguage, Rust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rust
Context triple: [Mozilla Firefox, programmingLanguage, Rust]
  • A. Rust chosen
    Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
  • B. Rust Foundation
    The Rust Foundation is a non-profit organization that supports the development, ecosystem, and community of the Rust programming language.
  • C. Zig
    Zig is a distinctive line of athletic footwear from Reebok known for its zigzag-shaped sole designed to enhance cushioning and energy return.
  • D. Zig
    Zig is a low-level, statically typed programming language focused on performance, safety, and explicit control over memory, often used as a modern alternative to C.
  • E. Deno
    Deno is a modern, secure JavaScript and TypeScript runtime created by Ryan Dahl as a successor to Node.js, featuring built-in TypeScript support and a permission-based security model.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccc62a88190882d8801908015a4 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac668290008190a5e175c0a2e5feb0 completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:45 p.m.