Triple

T353899
Position Surface form Disambiguated ID Type / Status
Subject WorldWideWeb E7502 entity
Predicate programmingLanguage P1592 FINISHED
Object Objective-C E41439 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: Objective-C | Statement: [WorldWideWeb, programmingLanguage, Objective-C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Objective-C
Context triple: [WorldWideWeb, programmingLanguage, Objective-C]
  • A. Objective-C chosen
    Objective-C is an object-oriented programming language primarily known for its use in developing software for Apple's macOS and iOS platforms.
  • B. Xcode
    Xcode is Apple's integrated development environment (IDE) for creating software across macOS, iOS, watchOS, and tvOS platforms.
  • C. JavaScriptCore
    JavaScriptCore is Apple’s high-performance JavaScript engine used primarily in the Safari web browser and WebKit-based applications.
  • D. iOS
    iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
  • E. Swift
    Swift is a modern, compiled programming language developed by Apple for building fast, safe, and expressive applications across its platforms and beyond.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eb80f524819093f4c2c18c3d615f completed Feb. 28, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3dd36d4b481908410ef0989564c8d completed March 1, 2026, 6:31 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.