Triple

T3420860
Position Surface form Disambiguated ID Type / Status
Subject iCalendar E72110 entity
Predicate relatedStandard P37 FINISHED
Object iMIP E347627 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: iMIP | Statement: [iCalendar, relatedStandard, iMIP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iMIP
Context triple: [iCalendar, relatedStandard, iMIP]
  • A. iMIP chosen
    iMIP is an email-based protocol for transporting iCalendar scheduling information, enabling calendar invitations and updates to be exchanged via standard email systems.
  • B. MIP
    MIP is a U.S. Department of Defense funding and oversight framework that supports military intelligence activities, systems, and operations.
  • C. IMBA
    IMBA is an International Master of Business Administration program offered by the Schulich School of Business, focusing on globally oriented management education and cross-cultural business skills.
  • D. MCIP
    MCIP is the stock ticker symbol for MCI Inc., a former major American telecommunications company known for providing long-distance and internet services.
  • E. IMCO
    IMCO is the former acronym for the International Maritime Organization, the United Nations agency responsible for regulating international shipping and maritime safety.
  • 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.