Triple

T9004750
Position Surface form Disambiguated ID Type / Status
Subject Notes (macOS) E215114 entity
Predicate integratesWith P1075 FINISHED
Object Mail (Apple Mail) E41444 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: Mail (Apple Mail) | Statement: [Notes (macOS), integratesWith, Mail (Apple Mail)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mail (Apple Mail)
Context triple: [Notes (macOS), integratesWith, Mail (Apple Mail)]
  • A. iOS Mail
    iOS Mail is Apple's built-in email client for iPhone and iPad that supports multiple email services, push notifications, and integrated management of mail, contacts, and calendars.
  • B. NeXT Mail
    NeXT Mail was an innovative early email and multimedia messaging application for the NeXTSTEP operating system, notable for pioneering features like integrated rich text and audio attachments.
  • C. Mail
    Mail is a Flask extension class that provides a simple interface for sending email messages from Flask web applications.
  • D. Mail chosen
    Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
  • E. Outlook
    Outlook is an opinion and analysis section of The Washington Post featuring commentary, essays, and in-depth perspectives on current events and issues.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc695afa34819086cf6fcce2997b5f completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9741dc8190bec985da8913937c completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:05 p.m.