Triple

T2716481
Position Surface form Disambiguated ID Type / Status
Subject LLVM E59978 entity
Predicate supportsLanguageFrontend P2177 FINISHED
Object Swift (via Swift compiler) E17651 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: Swift (via Swift compiler) | Statement: [LLVM, supportsLanguageFrontend, Swift (via Swift compiler)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swift (via Swift compiler)
Context triple: [LLVM, supportsLanguageFrontend, Swift (via Swift compiler)]
  • A. Swift chosen
    Swift is a modern, compiled programming language developed by Apple for building fast, safe, and expressive applications across its platforms and beyond.
  • B. Swift
    Swift is a common English surname borne by numerous notable figures, including the Anglo-Irish satirist Jonathan Swift.
  • C. Swift Standard Library
    The Swift Standard Library is the core collection of fundamental types, protocols, and utilities that provide essential functionality for writing programs in the Swift programming language.
  • D. Swift Package Manager
    Swift Package Manager is the official tool for managing, building, and distributing Swift code and dependencies across projects.
  • E. SwiftUI
    SwiftUI is Apple’s modern declarative user interface framework for building apps across all its platforms using the Swift programming language.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1fc30c81909ac06588d50abdf8 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68c3ccc81909995d17651af27ed completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.