Triple

T168930
Position Surface form Disambiguated ID Type / Status
Subject Tampa, Florida E3075 entity
Predicate hasNickName P39 FINISHED
Object Cigar City
Cigar City is a historic nickname for Tampa, Florida, reflecting its past as a major center of cigar manufacturing and Cuban-American culture.
E21019 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: Cigar City | Statement: [Tampa, Florida, hasNickName, Cigar City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cigar City
Context triple: [Tampa, Florida, hasNickName, Cigar City]
  • A. Miami
    Miami is a major coastal city in southeastern Florida known for its vibrant nightlife, diverse culture, and role as a global center for finance, tourism, and international trade.
  • B. Hotlanta
    Hotlanta is a popular nickname for Atlanta, Georgia, highlighting the city's vibrant nightlife, music scene, and warm climate.
  • C. Miami Beach
    Miami Beach is a coastal resort city in southeastern Florida known for its sandy beaches, Art Deco Historic District, and vibrant nightlife.
  • D. The Magic City
    The Magic City is a nickname for Birmingham, Alabama, highlighting its rapid growth during the late 19th and early 20th centuries as an industrial and economic center.
  • E. Wynwood
    Wynwood is a vibrant Miami neighborhood renowned for its colorful street art, trendy galleries, and lively nightlife.
  • 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: Cigar City
Triple: [Tampa, Florida, hasNickName, Cigar City]
Generated description
Cigar City is a historic nickname for Tampa, Florida, reflecting its past as a major center of cigar manufacturing and Cuban-American culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cigar City
Target entity description: Cigar City is a historic nickname for Tampa, Florida, reflecting its past as a major center of cigar manufacturing and Cuban-American culture.
  • A. Miami
    Miami is a major coastal city in southeastern Florida known for its vibrant nightlife, diverse culture, and role as a global center for finance, tourism, and international trade.
  • B. Hotlanta
    Hotlanta is a popular nickname for Atlanta, Georgia, highlighting the city's vibrant nightlife, music scene, and warm climate.
  • C. Miami Beach
    Miami Beach is a coastal resort city in southeastern Florida known for its sandy beaches, Art Deco Historic District, and vibrant nightlife.
  • D. The Magic City
    The Magic City is a nickname for Birmingham, Alabama, highlighting its rapid growth during the late 19th and early 20th centuries as an industrial and economic center.
  • E. Wynwood
    Wynwood is a vibrant Miami neighborhood renowned for its colorful street art, trendy galleries, and lively nightlife.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b6f4f88190b1264bbbeb19a29e completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e0f8bf748190b2752f250a63d8e3 completed Feb. 28, 2026, 12:35 p.m.
NEDg Description generation batch_69a2e16a3c088190a7ed30c60da89e6e completed Feb. 28, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69a2e2a9c8608190a65a4a3b80cd6970 completed Feb. 28, 2026, 12:42 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.