Triple

T3418184
Position Surface form Disambiguated ID Type / Status
Subject Apache Maven E72060 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: [Apache Maven, supportsLanguage, Kotlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotlin
Context triple: [Apache Maven, 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb92df1e48190bbf22a47e44579f1 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3546c88008190980a51195251af91 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:15 p.m.