Triple
T3420844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iCalendar |
E72110
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Apple Calendar |
E240725
|
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: Apple Calendar | Statement: [iCalendar, usedBy, Apple Calendar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple Calendar Context triple: [iCalendar, usedBy, Apple Calendar]
-
A.
Apple Calendar
chosen
Apple Calendar is a built-in calendar and scheduling app for Apple devices that helps users manage events, reminders, and appointments across their ecosystem.
-
B.
Google Calendar
Google Calendar is a time-management and scheduling service by Google that lets users create, share, and manage events and reminders across devices.
-
C.
Google Calendar sidebar widget
Google Calendar sidebar widget is an integrated panel within Google Calendar that lets users view, create, and manage their Google Tasks alongside their calendar events.
-
D.
CalDAV
CalDAV is an open standard protocol that allows clients to access, manage, and synchronize calendar data on a remote server over WebDAV.
-
E.
iCalendar
iCalendar is a widely used open standard file format for exchanging calendar and scheduling information across different applications and services.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb94eb9e8819087a525df4550914b |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354701e908190a8a7f14ae578fa5d |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.