Triple

T14789990
Position Surface form Disambiguated ID Type / Status
Subject WCAP E347626 entity
Predicate relatedTo P37 FINISHED
Object iCalendar E72110 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: iCalendar | Statement: [WCAP, relatedTo, iCalendar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iCalendar
Context triple: [WCAP, relatedTo, iCalendar]
  • A. iCalendar chosen
    iCalendar is a widely used open standard file format for exchanging calendar and scheduling information across different applications and services.
  • B. vCalendar
    vCalendar is an early electronic calendaring and scheduling format that served as a predecessor to the more widely adopted iCalendar standard.
  • C. CalDAV
    CalDAV is an open standard protocol that allows clients to access, manage, and synchronize calendar data on a remote server over WebDAV.
  • D. iTIP
    iTIP (iCalendar Transport-Independent Interoperability Protocol) is a protocol that defines how calendar and scheduling information is exchanged between systems using iCalendar data.
  • E. Calendaring and Scheduling (calsify)
    Calendaring and Scheduling (calsify) is an IETF working group focused on developing and maintaining Internet standards for interoperable electronic calendaring and scheduling.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa1e9ec81908d7c26c1c4e43014 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24bc8464819096b019f1e927d1a9 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.