Triple

T575845
Position Surface form Disambiguated ID Type / Status
Subject Chromium E13759 entity
Predicate programmingLanguage P1592 FINISHED
Object Objective-C++ E72231 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: [Chromium, programmingLanguage, Objective-C++]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Objective-C++
Context triple: [Chromium, programmingLanguage, Objective-C++]
  • A. Objective-C++ chosen
    Objective-C++ is a programming language extension that allows developers to seamlessly mix Objective-C and C++ code within the same source file, enabling the use of both languages' features in a single program.
  • B. Objective-C
    Objective-C is an object-oriented programming language primarily known for its use in developing software for Apple's macOS and iOS platforms.
  • C. macOS Cocoa
    macOS Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces on macOS.
  • D. C++
    C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
  • E. OPENSTEP
    OPENSTEP is an object-oriented application programming interface and operating system environment developed by NeXT that later formed the technological foundation for macOS and iOS.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b67395c8190a8046ff7debe9d1f completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089de648819097efdaa016aa33d2 completed March 2, 2026, 3:48 a.m.
Created at: March 1, 2026, 7:33 p.m.