Triple

T16040310
Position Surface form Disambiguated ID Type / Status
Subject Capability Maturity Model E389077 entity
Predicate alsoKnownAs P39 FINISHED
Object CMM
CMM is a framework that assesses and guides the maturity and improvement of an organization's software development and process management practices.
 E1190735 NE FINISHED

How this triple was built (4 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: CMM | Statement: [Capability Maturity Model, alsoKnownAs, CMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CMM
Context triple: [Capability Maturity Model, alsoKnownAs, CMM]
  • A. 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.
  • B. CMM
    CMM is Finland’s independent self-regulatory body that oversees journalistic ethics and handles complaints about the news media.
  • C. CMM
    CMM is a post-nominal designation indicating membership in the Order of Canada at the rank of Member.
  • 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. TMM
    TMM was the former currency code for the original Turkmenistan manat used before the country's monetary redenomination.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CMM
Triple: [Capability Maturity Model, alsoKnownAs, CMM]
Generated description
CMM is a framework that assesses and guides the maturity and improvement of an organization's software development and process management practices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CMM
Target entity description: CMM is a framework that assesses and guides the maturity and improvement of an organization's software development and process management practices.
  • A. 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.
  • B. CMM
    CMM is Finland’s independent self-regulatory body that oversees journalistic ethics and handles complaints about the news media.
  • C. CMM
    CMM is a post-nominal designation indicating membership in the Order of Canada at the rank of Member.
  • 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. TMM
    TMM was the former currency code for the original Turkmenistan manat used before the country's monetary redenomination.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69ffdc4f3d488190a5d1bffd4432ac32 completed May 10, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_69ffdd0392e08190af42a0cdc5dd4c1f completed May 10, 2026, 1:18 a.m.
Created at: April 10, 2026, 4:56 a.m.