Triple

T16040429
Position Surface form Disambiguated ID Type / Status
Subject CERT Resilience Management Model E389079 entity
Predicate influencedBy P9 FINISHED
Object CMMI E389077 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: CMMI | Statement: [CERT Resilience Management Model, influencedBy, CMMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMMI
Context triple: [CERT Resilience Management Model, influencedBy, CMMI]
  • A. CMM
    CMM is a post-nominal designation indicating membership in the Order of Canada at the rank of Member.
  • B. CMM
    CMM is the commonly used abbreviation for the Montreal Metropolitan Community, a regional governance body that coordinates planning and development across the Greater Montreal area in Quebec, Canada.
  • C. CMM
    CMM is Finland’s independent self-regulatory body that oversees journalistic ethics and handles complaints about the news media.
  • D. CMM
    CMM is the post-nominal letters signifying a Commander of the Order of Military Merit, one of Canada’s highest military decorations for exceptional service.
  • E. Capability Maturity Model chosen
    The Capability Maturity Model is a framework that assesses and guides the improvement of an organization’s software development and process management practices through defined maturity levels.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833f84188190baa3a452df880284 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd77c5481908644742a8a8f3e68 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.