Triple

T17677366
Position Surface form Disambiguated ID Type / Status
Subject Clojure core.async E440673 entity
Predicate supportsLanguage P2177 FINISHED
Object ClojureScript 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: ClojureScript | Statement: [Clojure core.async, supportsLanguage, ClojureScript]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ClojureScript
Context triple: [Clojure core.async, supportsLanguage, ClojureScript]
  • A. ClojureScript chosen
    ClojureScript is a dialect of Clojure that compiles to JavaScript, enabling functional, Lisp-style programming for web and other JavaScript-based environments.
  • B. Clojure
    Clojure is a modern, functional, and dynamic dialect of Lisp that runs on the Java Virtual Machine and emphasizes immutability and concurrent programming.
  • C. PureScript
    PureScript is a strongly-typed, purely functional programming language that compiles to JavaScript and is heavily inspired by Haskell.
  • D. Moonscript
    Moonscript is a high-level programming language that compiles to Lua, offering a cleaner, more expressive syntax while targeting the Lua runtime.
  • E. Racket
    Racket is a modern, multi-paradigm programming language in the Lisp/Scheme family, designed for language-oriented programming, scripting, and education.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6e959c819092d9d33e79bd51f7 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10:01 a.m.