Triple
T12900665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clojure |
E308600
|
entity |
| Predicate | implementation |
P1417
|
FINISHED |
| Object | ClojureScript |
E1008131
|
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: ClojureScript | Statement: [Clojure, implementation, ClojureScript]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ClojureScript Context triple: [Clojure, implementation, 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 (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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97180ee708190b60a3e58c42f764f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af59f3cc81908c99bcde43e724e6 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:40 p.m.