Triple

T2277024
Position Surface form Disambiguated ID Type / Status
Subject Mid-Beach E51193 entity
Predicate hasTypeOfArchitecture P4631 FINISHED
Object MiMo
MiMo is a distinctive post-World War II Miami Modernist architectural style characterized by playful curves, glass, and futuristic motifs, especially prominent in Miami Beach.
 E250976 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: MiMo | Statement: [Mid-Beach, hasTypeOfArchitecture, MiMo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MiMo
Context triple: [Mid-Beach, hasTypeOfArchitecture, MiMo]
  • A. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • B. MOSI
    MOSI is a major science and technology museum known for its interactive exhibits and educational programs that promote public engagement with science and industry.
  • C. Marcoola
    Marcoola is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its beaches and as the location of the region’s main airport.
  • D. MiC
    MiC is the official abbreviation for Italy’s Ministry of Culture, the government body responsible for cultural heritage, arts, and related policies.
  • E. Bango
    Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
  • 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: MiMo
Triple: [Mid-Beach, hasTypeOfArchitecture, MiMo]
Generated description
MiMo is a distinctive post-World War II Miami Modernist architectural style characterized by playful curves, glass, and futuristic motifs, especially prominent in Miami Beach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MiMo
Target entity description: MiMo is a distinctive post-World War II Miami Modernist architectural style characterized by playful curves, glass, and futuristic motifs, especially prominent in Miami Beach.
  • A. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • B. MOSI
    MOSI is a major science and technology museum known for its interactive exhibits and educational programs that promote public engagement with science and industry.
  • C. Marcoola
    Marcoola is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its beaches and as the location of the region’s main airport.
  • D. MiC
    MiC is the official abbreviation for Italy’s Ministry of Culture, the government body responsible for cultural heritage, arts, and related policies.
  • E. Bango
    Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc1ee22988190b7fa28b0b62e8668 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71e2a17081908539717619ad7187 completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae75ba1a988190ba59d3ce5e5c39a8 completed March 9, 2026, 7:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae76246f6c81909a15262d2c4ea975 completed March 9, 2026, 7:26 a.m.
Created at: March 4, 2026, 7:48 p.m.