Triple

T5923043
Position Surface form Disambiguated ID Type / Status
Subject Zig E131740 entity
Predicate hasComponent P35 FINISHED
Object zig compiler E131740 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: zig compiler | Statement: [Zig, hasComponent, zig compiler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: zig compiler
Context triple: [Zig, hasComponent, zig compiler]
  • A. Zig
    Zig is a distinctive line of athletic footwear from Reebok known for its zigzag-shaped sole designed to enhance cushioning and energy return.
  • B. Zig chosen
    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.
  • C. Bytecode Alliance
    Bytecode Alliance is a nonprofit industry consortium focused on advancing secure, modular, and portable software through technologies built around WebAssembly.
  • D. LLVM
    LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
  • E. Clang
    Clang is a modern, open-source C, C++, and Objective-C compiler front end for the LLVM project, known for its fast compilation, expressive diagnostics, and modular design.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0483e3481908e50f8b34b11a878 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.