Triple

T14394533
Position Surface form Disambiguated ID Type / Status
Subject WebStorm E356921 entity
Predicate supportsTechnology P5090 FINISHED
Object ESLint E554816 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: ESLint | Statement: [WebStorm, supportsTechnology, ESLint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESLint
Context triple: [WebStorm, supportsTechnology, ESLint]
  • A. ESLint chosen
    ESLint is a widely used open-source JavaScript linter that analyzes code to find and fix problems, enforce style rules, and maintain code quality.
  • B. JSLint
    JSLint is a JavaScript code quality and static analysis tool created by Douglas Crockford to enforce strict coding conventions and detect potential errors.
  • C. Clang-Tidy
    Clang-Tidy is a C++ “linter” and static analysis tool that automatically detects and suggests fixes for common programming errors, style issues, and potential bugs in code.
  • D. Static Code Checker
    Static Code Checker is a software tool that automatically analyzes source code without executing it to detect bugs, security vulnerabilities, and style or quality issues.
  • E. Clang-Tidy linter
    Clang-Tidy linter is a C++ code analysis tool that automatically detects and suggests fixes for style issues, bugs, and performance problems using Clang’s compiler infrastructure.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551b006c8190b84449f2e2b59b62 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.