Triple

T1621539
Position Surface form Disambiguated ID Type / Status
Subject Common Language Specification E35040 entity
Predicate usedBy P260 FINISHED
Object F# E34603 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: F# | Statement: [Common Language Specification, usedBy, F#]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F#
Context triple: [Common Language Specification, usedBy, F#]
  • A. F# chosen
    F# is a functional-first, multi-paradigm programming language for the .NET platform, known for its strong type system and concise, expressive syntax.
  • B. F# Software Foundation
    The F# Software Foundation is a community-driven organization that supports and promotes the F# functional-first programming language and its ecosystem.
  • C. REPL (F# Interactive)
    REPL (F# Interactive) is F#’s interactive read–eval–print loop environment that lets developers write, execute, and experiment with F# code in real time.
  • D. OCaml
    OCaml is a statically typed functional programming language from the ML family, known for its powerful type system, pattern matching, and efficient native code compilation.
  • E. 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.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909b1fc788190b38c0aa4ccc2e953 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada96dc52c8190be0ace80c5eb4cf3 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:28 p.m.