Triple

T22885344
Position Surface form Disambiguated ID Type / Status
Subject Ubiratan Pereira Maciel E567588 entity
Predicate givenName P17 FINISHED
Object Ubiratan
Ubiratan is a masculine given name of Portuguese origin, commonly used in Brazil.
E1560717 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: Ubiratan | Statement: [Ubiratan Pereira Maciel, givenName, Ubiratan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ubiratan
Context triple: [Ubiratan Pereira Maciel, givenName, Ubiratan]
  • A. Itambé
    Itambé is a municipality in the state of Pernambuco, Brazil, that forms part of the Recife metropolitan area.
  • B. Ibirapuera
    Ibirapuera is a prominent district in São Paulo, Brazil, best known for housing Ibirapuera Park, one of the city’s largest and most important urban green spaces.
  • C. Putijarra
    Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
  • D. Igaratá
    Igaratá is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and reservoir that attracts tourism and outdoor recreation.
  • E. Uruca
    Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
  • 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: Ubiratan
Triple: [Ubiratan Pereira Maciel, givenName, Ubiratan]
Generated description
Ubiratan is a masculine given name of Portuguese origin, commonly used in Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ubiratan
Target entity description: Ubiratan is a masculine given name of Portuguese origin, commonly used in Brazil.
  • A. Itambé
    Itambé is a municipality in the state of Pernambuco, Brazil, that forms part of the Recife metropolitan area.
  • B. Ibirapuera
    Ibirapuera is a prominent district in São Paulo, Brazil, best known for housing Ibirapuera Park, one of the city’s largest and most important urban green spaces.
  • C. Putijarra
    Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
  • D. Igaratá
    Igaratá is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and reservoir that attracts tourism and outdoor recreation.
  • E. Uruca
    Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc0cdb081908107d40069d9735f completed April 29, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9bafb9c81909e061c4d2997439a completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb38da508190bc1d9bc8538cdbe2 completed May 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbc2a2244819090ead891e1a866ed completed May 19, 2026, 1:26 a.m.
Created at: April 17, 2026, 3:40 p.m.