Triple

T192112
Position Surface form Disambiguated ID Type / Status
Subject JavaScript E3742 entity
Predicate influenced P9 FINISHED
Object TypeScript E5705 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: TypeScript | Statement: [JavaScript, influenced, TypeScript]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TypeScript
Context triple: [JavaScript, influenced, TypeScript]
  • A. TypeScript programming language chosen
    TypeScript is a statically typed superset of JavaScript that adds optional type annotations and modern language features to improve large-scale application development.
  • B. JavaScript
    JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
  • C. Swift
    Swift is a modern, compiled programming language developed by Apple for building fast, safe, and expressive applications across its platforms and beyond.
  • D. Kotlin
    Kotlin is a modern, statically typed programming language developed by JetBrains that runs on the JVM and is widely used for building Android applications.
  • E. C# programming language
    C# is a modern, object-oriented programming language designed for building a wide range of applications on the .NET platform, known for its strong typing, rich standard library, and integration with Visual Studio.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a259669ba08190a5be1d2e10e70b27 completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30cc6bfdc819091478e5102a3d64f completed Feb. 28, 2026, 3:41 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.