Triple

T8814631
Position Surface form Disambiguated ID Type / Status
Subject Continuity Markup E209746 entity
Predicate integratesWith P1075 FINISHED
Object Messages on macOS E215113 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: Messages on macOS | Statement: [Continuity Markup, integratesWith, Messages on macOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Messages on macOS
Context triple: [Continuity Markup, integratesWith, Messages on macOS]
  • A. Messages on macOS chosen
    Messages on macOS is Apple’s desktop messaging app that lets users send and receive iMessages and SMS/MMS texts from their Mac, syncing conversations across Apple devices.
  • B. iMessage
    iMessage is Apple’s encrypted instant messaging service that enables text, media, and rich communication features between users of Apple devices.
  • C. macOS menu bar
    The macOS menu bar is the horizontal system-wide bar at the top of the screen that provides access to app menus, system status icons, and various utilities.
  • D. macOS
    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.
  • E. macOS Cocoa
    macOS Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces on macOS.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ff1a4448190b5559f440d264442 completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6fb898388190b96242ff41599250 completed April 3, 2026, 7:43 a.m.
Created at: March 30, 2026, 6:45 p.m.