Triple

T14370712
Position Surface form Disambiguated ID Type / Status
Subject Radicale E356351 entity
Predicate supportsProtocol P203 FINISHED
Object CalDAV E72241 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: CalDAV | Statement: [Radicale, supportsProtocol, CalDAV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CalDAV
Context triple: [Radicale, supportsProtocol, CalDAV]
  • A. CalDAV chosen
    CalDAV is an open standard protocol that allows clients to access, manage, and synchronize calendar data on a remote server over WebDAV.
  • B. Nextcloud Calendar
    Nextcloud Calendar is an open-source, self-hosted calendar application that lets users manage and share events across devices while keeping full control over their data.
  • C. iCalendar
    iCalendar is a widely used open standard file format for exchanging calendar and scheduling information across different applications and services.
  • D. CardDAV
    CardDAV is an open standard protocol that enables remote access, synchronization, and management of contact data over the Web using HTTP and WebDAV.
  • E. vCalendar
    vCalendar is an early electronic calendaring and scheduling format that served as a predecessor to the more widely adopted iCalendar standard.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb0b8988190ab834a85911c015c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550e677c8190837c3b9ccb64f0cd completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:15 a.m.