Triple
T8814630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Continuity Markup |
E209746
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Mail on macOS |
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 on macOS | Statement: [Continuity Markup, integratesWith, Mail on macOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mail on macOS Context triple: [Continuity Markup, integratesWith, Mail on macOS]
-
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
chosen
Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
-
D.
Mail
Mail is a Flask extension class that provides a simple interface for sending email messages from Flask web applications.
-
E.
Messages on macOS
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.
- 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.