Triple

T148166
Position Surface form Disambiguated ID Type / Status
Subject Tableau E3373 entity
Predicate operatingSystem P1593 FINISHED
Object macOS E6427 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: macOS | Statement: [Tableau, operatingSystem, macOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: macOS
Context triple: [Tableau, operatingSystem, macOS]
  • A. macOS chosen
    macOS is Apple’s proprietary Unix-based operating system known for its graphical user interface, tight integration with Apple hardware and services, and strong emphasis on usability and security.
  • B. iOS
    iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
  • C. Apple silicon
    Apple silicon is Apple’s custom family of ARM-based system-on-a-chip processors that power modern Macs and other Apple devices, offering high performance with improved energy efficiency.
  • D. Classic Mac OS
    Classic Mac OS is the original graphical operating system for Apple’s Macintosh computers, known for its intuitive interface, single-tasking roots, and evolution from System 1 through Mac OS 9 before being replaced by macOS.
  • E. USBOS
    USBOS is the UN/LOCODE identifier assigned to the Port of Boston in the United States for international shipping and logistics.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257ecb6f48190992c4c8ca908a81c completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c939ea148190984dfd347b12d136 completed Feb. 28, 2026, 10:53 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.