Triple

T3244994
Position Surface form Disambiguated ID Type / Status
Subject HotSpot JVM E68047 entity
Predicate supportsLanguage P2177 FINISHED
Object Kotlin 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 | Statement: [HotSpot JVM, supportsLanguage, Kotlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotlin
Context triple: [HotSpot JVM, supportsLanguage, Kotlin]
  • 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. Kotlin/Native
    Kotlin/Native is a Kotlin compiler technology that produces native binaries for multiple platforms without requiring a virtual machine, enabling high-performance, platform-specific applications.
  • C. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • D. 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).
  • E. 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.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf1982448190b3d60c9e4471421f completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2775f76988190bfaaaabce63f6f6b completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:09 p.m.