Triple

T10482872
Position Surface form Disambiguated ID Type / Status
Subject Portuguese culture E247215 entity
Predicate hasBeverage P30390 FINISHED
Object Ginjinha
Ginjinha is a traditional Portuguese liqueur made from sour cherries, sugar, and alcohol, typically enjoyed as a small shot in bars and cafés.
 E864842 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: Ginjinha | Statement: [Portuguese culture, hasBeverage, Ginjinha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ginjinha
Context triple: [Portuguese culture, hasBeverage, Ginjinha]
  • A. Caipirinha
    Caipirinha is Brazil’s national cocktail, traditionally made with cachaça, sugar, and lime, known for its refreshing, citrusy flavor.
  • B. Pisco
    Pisco is a coastal city in southern Peru known for its nearby vineyards, production of the Pisco spirit, and proximity to the Paracas National Reserve.
  • C. Granadina
    Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
  • D. Curaçao liqueur
    Curaçao liqueur is a sweet, often brightly colored orange-flavored liqueur originally made from the dried peels of the Laraha citrus fruit grown on the Caribbean island of Curaçao.
  • E. Sercial
    Sercial is a white grape variety best known for producing the driest style of Madeira wine, characterized by high acidity and delicate, nutty citrus flavors.
  • 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: Ginjinha
Triple: [Portuguese culture, hasBeverage, Ginjinha]
Generated description
Ginjinha is a traditional Portuguese liqueur made from sour cherries, sugar, and alcohol, typically enjoyed as a small shot in bars and cafés.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ginjinha
Target entity description: Ginjinha is a traditional Portuguese liqueur made from sour cherries, sugar, and alcohol, typically enjoyed as a small shot in bars and cafés.
  • A. Caipirinha
    Caipirinha is Brazil’s national cocktail, traditionally made with cachaça, sugar, and lime, known for its refreshing, citrusy flavor.
  • B. Pisco
    Pisco is a coastal city in southern Peru known for its nearby vineyards, production of the Pisco spirit, and proximity to the Paracas National Reserve.
  • C. Granadina
    Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
  • D. Curaçao liqueur
    Curaçao liqueur is a sweet, often brightly colored orange-flavored liqueur originally made from the dried peels of the Laraha citrus fruit grown on the Caribbean island of Curaçao.
  • E. Sercial
    Sercial is a white grape variety best known for producing the driest style of Madeira wine, characterized by high acidity and delicate, nutty citrus flavors.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095d21c08190a0b2f3e57fabb1d8 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a03336988190bc1e61126fe576be completed April 10, 2026, 7:01 a.m.
NEDg Description generation batch_69d8a166404881909c28141fefea2936 completed April 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69d8a2c550ac81908444c6abfe14698a completed April 10, 2026, 7:12 a.m.
Created at: April 6, 2026, 12:22 p.m.