Triple

T13423140
Position Surface form Disambiguated ID Type / Status
Subject The Kaseya E313408 entity
Predicate locatedIn P40 FINISHED
Object Downtown Miami E14543 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: Downtown Miami | Statement: [The Kaseya, locatedIn, Downtown Miami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Miami
Context triple: [The Kaseya, locatedIn, Downtown Miami]
  • A. Downtown Miami chosen
    Downtown Miami is the central business, cultural, and commercial core of Miami, known for its high-rise skyline, waterfront views, and vibrant urban life.
  • B. Midtown Miami
    Midtown Miami is a rapidly developing mixed-use district in Miami known for its high-rise residences, shopping, dining, and proximity to both Wynwood and the Biscayne Bay waterfront.
  • C. South Beach, Miami
    South Beach, Miami is a famous oceanfront neighborhood known for its Art Deco architecture, vibrant nightlife, and iconic role in film and popular culture.
  • D. Miami Beach
    Miami Beach is a coastal resort city in southeastern Florida known for its sandy beaches, Art Deco Historic District, and vibrant nightlife.
  • E. South Beach
    South Beach is a popular sandy shoreline on Tybee Island, Georgia, known for its swimming, sunbathing, and relaxed coastal atmosphere.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaecf13748190ae40c7b95164f914 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c288c08190af46fe7d114df338 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:39 p.m.