Triple

T723264
Position Surface form Disambiguated ID Type / Status
Subject Montreal Metropolitan Community E14663 entity
Predicate hasAbbreviation P43 FINISHED
Object CMM E86719 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: CMM | Statement: [Montreal Metropolitan Community, hasAbbreviation, CMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMM
Context triple: [Montreal Metropolitan Community, hasAbbreviation, CMM]
  • A. CMM chosen
    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. CMC
    CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
  • C. CMCSA
    CMCSA is the stock ticker symbol for Comcast Corporation, a major American telecommunications and media conglomerate.
  • D. CM
    CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
  • E. CIM
    CIM is the Spanish acronym for the Inter-American Commission of Women, a specialized organization within the Organization of American States dedicated to promoting and protecting women’s rights and gender equality in the Americas.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a5360c8190b16e1e4f4206d0aa completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5a7e788190b5ad2505b68ca48d completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:37 p.m.