Triple

T4074100
Position Surface form Disambiguated ID Type / Status
Subject CMM E86719 entity
Predicate usesAbbreviation 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: [CMM, usesAbbreviation, CMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMM
Context triple: [CMM, usesAbbreviation, 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. CMM
    CMM is Finland’s independent self-regulatory body that oversees journalistic ethics and handles complaints about the news media.
  • C. TMM
    TMM was the former currency code for the original Turkmenistan manat used before the country's monetary redenomination.
  • D. CMI
    CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
  • E. Cm
    Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc245d888190ae773f9c3077953b completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562bc05948190a9ad709768420588 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.