Triple

T6218314
Position Surface form Disambiguated ID Type / Status
Subject Evan Czaplicki E139046 entity
Predicate designed P184 FINISHED
Object Elm programming language E24476 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: Elm programming language | Statement: [Evan Czaplicki, designed, Elm programming language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elm programming language
Context triple: [Evan Czaplicki, designed, Elm programming language]
  • A. Elm
    Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
  • B. Elm chosen
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • C. Vale programming language
    Vale is a memory-safe, performance-focused systems programming language that explores region-based memory management and borrow-checking concepts similar to those in Rust.
  • D. ReasonML
    ReasonML is a syntax and toolchain for the OCaml language that offers a JavaScript-friendly, type-safe alternative for building web and native applications.
  • E. Odin programming language
    Odin is a statically typed, compiled systems programming language focused on simplicity, data-oriented design, and high performance as an alternative to C.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a481908190a1418d9fcfaf8137 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518ff27848190817ad516cf62c619 completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:21 p.m.