Triple

T21802273
Position Surface form Disambiguated ID Type / Status
Subject IOSCO Multilateral Memorandum of Understanding E538265 entity
Predicate abbreviation P43 FINISHED
Object MMoU
MMoU is the commonly used abbreviation for the IOSCO Multilateral Memorandum of Understanding, a key international agreement facilitating cross-border cooperation and information sharing among securities regulators.
E1502107 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: MMoU | Statement: [IOSCO Multilateral Memorandum of Understanding, abbreviation, MMoU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MMoU
Context triple: [IOSCO Multilateral Memorandum of Understanding, abbreviation, MMoU]
  • A. MOU
    MOU is a regional museum in Oudenaarde, Belgium, showcasing the history, art, and cultural heritage of the city and the Flemish Ardennes.
  • B. MMTU
    MMTU is the ICAO airport code for Tulum International Airport in Tulum, Quintana Roo, Mexico.
  • C. MMMM
    MMMM is the ICAO airport code for General Francisco J. Mujica International Airport serving Morelia, Michoacán, Mexico.
  • D. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • E. MMML
    MMML is the ICAO airport code for Mexicali International Airport in Mexicali, Baja California, Mexico.
  • 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: MMoU
Triple: [IOSCO Multilateral Memorandum of Understanding, abbreviation, MMoU]
Generated description
MMoU is the commonly used abbreviation for the IOSCO Multilateral Memorandum of Understanding, a key international agreement facilitating cross-border cooperation and information sharing among securities regulators.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MMoU
Target entity description: MMoU is the commonly used abbreviation for the IOSCO Multilateral Memorandum of Understanding, a key international agreement facilitating cross-border cooperation and information sharing among securities regulators.
  • A. MOU
    MOU is a regional museum in Oudenaarde, Belgium, showcasing the history, art, and cultural heritage of the city and the Flemish Ardennes.
  • B. MMTU
    MMTU is the ICAO airport code for Tulum International Airport in Tulum, Quintana Roo, Mexico.
  • C. MMMM
    MMMM is the ICAO airport code for General Francisco J. Mujica International Airport serving Morelia, Michoacán, Mexico.
  • D. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • E. MMML
    MMML is the ICAO airport code for Mexicali International Airport in Mexicali, Baja California, Mexico.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0780062688190a6c3a2a0364f0f77 completed April 28, 2026, 9:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e827ad88190869f3c4797c80891 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f4358d48190a88208a55d19a9ef completed May 17, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0a404206e0819080c640619cd277ab completed May 17, 2026, 10:25 p.m.
Created at: April 16, 2026, 6:53 p.m.