Triple

T1690528
Position Surface form Disambiguated ID Type / Status
Subject Visual Studio Code E36538 entity
Predicate supportsLanguage P2177 FINISHED
Object Kotlin (via extension) E13746 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: Kotlin (via extension) | Statement: [Visual Studio Code, supportsLanguage, Kotlin (via extension)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotlin (via extension)
Context triple: [Visual Studio Code, supportsLanguage, Kotlin (via extension)]
  • A. Kotlin chosen
    Kotlin is a modern, statically typed programming language developed by JetBrains that runs on the JVM and is widely used for building Android applications.
  • B. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • C. Dart
    Dart is a client-optimized, object-oriented programming language developed by Google, primarily used for building web and cross-platform mobile applications (notably with the Flutter framework).
  • D. Scala
    Scala is a high-level, statically typed programming language that unifies object-oriented and functional programming paradigms and runs on the Java Virtual Machine.
  • E. Gradle
    Gradle is a powerful, flexible build automation tool and dependency management system widely used in Java and other JVM-based projects.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62979da48190a64a04bf352182e0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad79947c908190b807205bd44c3254 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:29 p.m.