Triple

T816716
Position Surface form Disambiguated ID Type / Status
Subject Plotly E17664 entity
Predicate supportsEnvironment P11908 FINISHED
Object Julia REPL E17648 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: Julia REPL | Statement: [Plotly, supportsEnvironment, Julia REPL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia REPL
Context triple: [Plotly, supportsEnvironment, Julia REPL]
  • A. Julia
    Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
  • B. Julia chosen
    Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
  • C. Eshell
    Eshell is a powerful, Emacs-integrated command shell written in Emacs Lisp that provides a Unix-like shell environment tightly coupled with Emacs features and workflows.
  • D. Wolfram
    Wolfram is a masculine given name of Germanic origin, historically borne by several notable figures including military leaders and scholars.
  • E. CAS (Computer Algebra System)
    CAS (Computer Algebra System) is software that performs symbolic mathematical computations—such as algebraic manipulation, equation solving, and calculus operations—exactly rather than numerically.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab621d2c819083f10bff4f66c482 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8d1a448190be8494fa2776615a completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.