Triple

T22876106
Position Surface form Disambiguated ID Type / Status
Subject Sunbelt E567330 entity
Predicate includesState P285 FINISHED
Object Florida NE NERFINISHED

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: Florida | Statement: [Sunbelt, includesState, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florida
Context triple: [Sunbelt, includesState, Florida]
  • A. Florida chosen
    Florida is a southeastern U.S. state known for its warm climate, extensive beaches, tourism industry centered on attractions like Walt Disney World, and significant cultural and economic influence.
  • B. Florida
    Florida is a small rural town located in the northern part of Berkshire County, Massachusetts, known for its mountainous terrain and proximity to the Mohawk Trail.
  • C. Florida
    Florida is a troubled teenage girl in Joe Hill’s horror novel "Heart-Shaped Box," whose disturbing experiences and connection to the story’s haunting events make her a key supporting character.
  • D. Florida
    Florida is a municipality and city in central Camagüey Province, Cuba, known for its agricultural activities, particularly sugarcane cultivation.
  • E. Florida
    Florida is a residential suburb of Roodepoort in Gauteng, South Africa, known for its lakes, schools, and commuter access to Johannesburg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f58a7308190b710bdf013e2e114 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.