Triple

T17519655
Position Surface form Disambiguated ID Type / Status
Subject Swagger Codegen E426651 entity
Predicate supportsLanguage P2177 FINISHED
Object Clojure NE NERFINISHED

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: Clojure | Statement: [Swagger Codegen, supportsLanguage, Clojure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clojure
Context triple: [Swagger Codegen, supportsLanguage, Clojure]
  • A. Clojure chosen
    Clojure is a modern, functional, and dynamic dialect of Lisp that runs on the Java Virtual Machine and emphasizes immutability and concurrent programming.
  • B. ClojureScript
    ClojureScript is a dialect of Clojure that compiles to JavaScript, enabling functional, Lisp-style programming for web and other JavaScript-based environments.
  • C. Lisp programming language
    Lisp is a pioneering high-level programming language, especially influential in artificial intelligence research and known for its symbolic processing and distinctive parenthesized syntax.
  • D. Racket
    Racket is a modern, multi-paradigm programming language in the Lisp/Scheme family, designed for language-oriented programming, scripting, and education.
  • E. Common Lisp
    Common Lisp is a powerful, multi-paradigm dialect of the Lisp programming language standardised in the 1980s, known for its rich macro system, dynamic typing, and suitability for large-scale, extensible software systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d18c1c81908bb843bbddb44ca1 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.