Triple

T2845469
Position Surface form Disambiguated ID Type / Status
Subject Salvador, Bahia, Brazil E62572 entity
Predicate hasCulinarySpecialty P17589 FINISHED
Object Moqueca baiana
Moqueca baiana is a traditional Afro-Brazilian seafood stew from Bahia, typically made with fish or shrimp simmered in coconut milk, dendê (palm) oil, tomatoes, onions, and peppers.
 E304143 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: Moqueca baiana | Statement: [Salvador, Bahia, Brazil, hasCulinarySpecialty, Moqueca baiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moqueca baiana
Context triple: [Salvador, Bahia, Brazil, hasCulinarySpecialty, Moqueca baiana]
  • A. Fogão
    Fogão is the popular nickname of Brazilian football club Botafogo de Futebol e Regatas, one of Rio de Janeiro’s traditional teams.
  • B. Congonhas
    Congonhas is a district in the city of São Paulo, Brazil, best known for giving its name to one of the country’s busiest domestic airports.
  • C. Beberibe
    Beberibe is a coastal municipality in northeastern Brazil known for its scenic beaches, sand dunes, and colorful cliffs.
  • D. Boa Viagem
    Boa Viagem is a famous beachfront neighborhood in Recife, Brazil, known for its long urban beach, high-rise skyline, and vibrant tourist scene.
  • E. Macaxeira
    Macaxeira is a neighborhood in the city of Recife, Brazil.
  • 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: Moqueca baiana
Triple: [Salvador, Bahia, Brazil, hasCulinarySpecialty, Moqueca baiana]
Generated description
Moqueca baiana is a traditional Afro-Brazilian seafood stew from Bahia, typically made with fish or shrimp simmered in coconut milk, dendê (palm) oil, tomatoes, onions, and peppers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moqueca baiana
Target entity description: Moqueca baiana is a traditional Afro-Brazilian seafood stew from Bahia, typically made with fish or shrimp simmered in coconut milk, dendê (palm) oil, tomatoes, onions, and peppers.
  • A. Fogão
    Fogão is the popular nickname of Brazilian football club Botafogo de Futebol e Regatas, one of Rio de Janeiro’s traditional teams.
  • B. Congonhas
    Congonhas is a district in the city of São Paulo, Brazil, best known for giving its name to one of the country’s busiest domestic airports.
  • C. Beberibe
    Beberibe is a coastal municipality in northeastern Brazil known for its scenic beaches, sand dunes, and colorful cliffs.
  • D. Boa Viagem
    Boa Viagem is a famous beachfront neighborhood in Recife, Brazil, known for its long urban beach, high-rise skyline, and vibrant tourist scene.
  • E. Macaxeira
    Macaxeira is a neighborhood in the city of Recife, Brazil.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf3d00708190966a477fdd855f23 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d850b481909850ff5e89021824 completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afe990ce088190b42b20037c1eef3f completed March 10, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69b00d04f42081909d59e1ad1bec6c34 completed March 10, 2026, 12:22 p.m.
Created at: March 6, 2026, 10:02 p.m.