Triple

T6835359
Position Surface form Disambiguated ID Type / Status
Subject Order of Military Merit E157435 entity
Predicate postNominalForGrade P1610 FINISHED
Object MMM
MMM is a post-nominal designation signifying membership in the Order of Military Merit, a Canadian honor recognizing exceptional service and devotion by members of the Canadian Armed Forces.
 E621187 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: MMM | Statement: [Order of Military Merit, postNominalForGrade, MMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MMM
Context triple: [Order of Military Merit, postNominalForGrade, MMM]
  • A. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • B. MMMY
    MMMY is the ICAO airport code for General Mariano Escobedo International Airport serving Monterrey, Mexico.
  • C. MMC
    MMC is the stock ticker symbol for Marsh & McLennan Companies, a global professional services firm specializing in risk, strategy, and insurance.
  • D. MMC
    MMC is the commonly used abbreviation for the Modesto A. Maidique Campus of Florida International University in Miami, Florida.
  • E. MMZ
    MMZ is the ICAO airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • 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: MMM
Triple: [Order of Military Merit, postNominalForGrade, MMM]
Generated description
MMM is a post-nominal designation signifying membership in the Order of Military Merit, a Canadian honor recognizing exceptional service and devotion by members of the Canadian Armed Forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MMM
Target entity description: MMM is a post-nominal designation signifying membership in the Order of Military Merit, a Canadian honor recognizing exceptional service and devotion by members of the Canadian Armed Forces.
  • A. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • B. MMMY
    MMMY is the ICAO airport code for General Mariano Escobedo International Airport serving Monterrey, Mexico.
  • C. MMC
    MMC is the stock ticker symbol for Marsh & McLennan Companies, a global professional services firm specializing in risk, strategy, and insurance.
  • D. MMC
    MMC is the commonly used abbreviation for the Modesto A. Maidique Campus of Florida International University in Miami, Florida.
  • E. MMZ
    MMZ is the ICAO airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7ca96008190ba79563c2a9a9b0e completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723fd50c88190af005fd58ca0aee6 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c7247806808190ac60c134cec612c8 completed March 28, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69c7253b94f081909e7cee870a12af6b completed March 28, 2026, 12:47 a.m.
Created at: March 27, 2026, 2:19 p.m.