Triple

T630708
Position Surface form Disambiguated ID Type / Status
Subject Pensacola, Florida E15919 entity
Predicate nickname P55 FINISHED
Object P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
E79088 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: P-Cola | Statement: [Pensacola, Florida, nickname, P-Cola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: P-Cola
Context triple: [Pensacola, Florida, nickname, P-Cola]
  • A. Pepsi
    Pepsi is a globally recognized carbonated soft drink brand produced by PepsiCo and known as one of the main competitors to Coca-Cola.
  • B. The Coca-Cola Company
    The Coca-Cola Company is a multinational beverage corporation best known as the producer of the iconic soft drink Coca-Cola and a wide portfolio of nonalcoholic beverages sold worldwide.
  • C. New Era Drinks
    New Era Drinks is a category in the International Bartenders Association’s cocktail classifications that includes contemporary mixed drinks such as the pisco sour.
  • D. Coolaid
    Coolaid is a 2016 studio album by American rapper Snoop Dogg that marks a return to his classic West Coast G-funk sound.
  • E. Roshen
    Roshen is a major Ukrainian confectionery corporation known for producing a wide range of chocolates, candies, and other sweets and for being one of Eastern Europe’s largest candy manufacturers.
  • 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: P-Cola
Triple: [Pensacola, Florida, nickname, P-Cola]
Generated description
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: P-Cola
Target entity description: P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
  • A. Pepsi
    Pepsi is a globally recognized carbonated soft drink brand produced by PepsiCo and known as one of the main competitors to Coca-Cola.
  • B. The Coca-Cola Company
    The Coca-Cola Company is a multinational beverage corporation best known as the producer of the iconic soft drink Coca-Cola and a wide portfolio of nonalcoholic beverages sold worldwide.
  • C. New Era Drinks
    New Era Drinks is a category in the International Bartenders Association’s cocktail classifications that includes contemporary mixed drinks such as the pisco sour.
  • D. Coolaid
    Coolaid is a 2016 studio album by American rapper Snoop Dogg that marks a return to his classic West Coast G-funk sound.
  • E. Roshen
    Roshen is a major Ukrainian confectionery corporation known for producing a wide range of chocolates, candies, and other sweets and for being one of Eastern Europe’s largest candy manufacturers.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec171008190ab91dee86e9279af completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56c4d84d8819095afbf0ee9c7bd82 completed March 2, 2026, 10:54 a.m.
NEDg Description generation batch_69a56c99153c8190bb457b19c2f97052 completed March 2, 2026, 10:55 a.m.
NED2 Entity disambiguation (via description) batch_69a56d31be8881909155f2eac7131798 completed March 2, 2026, 10:57 a.m.
Created at: March 1, 2026, 7:35 p.m.