Triple

T22794146
Position Surface form Disambiguated ID Type / Status
Subject Goiânia E564193 entity
Predicate governingBody P46 FINISHED
Object Municipal government of Goiânia NE NERFINISHED

How this triple was built (3 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: Municipal government of Goiânia | Statement: [Goiânia, governingBody, Municipal government of Goiânia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Municipal government of Goiânia
Context triple: [Goiânia, governingBody, Municipal government of Goiânia]
  • A. Municipal Government of Belo Horizonte
    The Municipal Government of Belo Horizonte is the local public administration responsible for managing and providing services, infrastructure, and urban planning for the city of Belo Horizonte, Brazil.
  • B. Municipal Government of Maceió
    The Municipal Government of Maceió is the local public administration responsible for managing city services, urban planning, and municipal policies in the capital of Alagoas, Brazil.
  • C. Municipal government of Caxias do Sul
    The Municipal government of Caxias do Sul is the local public administration responsible for managing services, policies, and development in the city of Caxias do Sul, Brazil.
  • D. Municipal government of Aracaju
    The Municipal government of Aracaju is the local public administration responsible for managing city services, urban planning, and municipal policies in Brazil’s capital of the state of Sergipe.
  • E. Municipal Chamber of Belo Horizonte
    The Municipal Chamber of Belo Horizonte is the city’s legislative council responsible for creating local laws, overseeing the municipal executive, and representing the interests of residents in Belo Horizonte, Brazil.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Municipal government of Goiânia
Target entity description: The Municipal government of Goiânia is the local public administration responsible for managing the city’s executive and legislative functions, public services, and urban development policies.
  • A. Municipal Government of Belo Horizonte
    The Municipal Government of Belo Horizonte is the local public administration responsible for managing and providing services, infrastructure, and urban planning for the city of Belo Horizonte, Brazil.
  • B. Municipal Government of Maceió
    The Municipal Government of Maceió is the local public administration responsible for managing city services, urban planning, and municipal policies in the capital of Alagoas, Brazil.
  • C. Municipal government of Caxias do Sul
    The Municipal government of Caxias do Sul is the local public administration responsible for managing services, policies, and development in the city of Caxias do Sul, Brazil.
  • D. Municipal government of Aracaju
    The Municipal government of Aracaju is the local public administration responsible for managing city services, urban planning, and municipal policies in Brazil’s capital of the state of Sergipe.
  • E. Municipal Chamber of Belo Horizonte
    The Municipal Chamber of Belo Horizonte is the city’s legislative council responsible for creating local laws, overseeing the municipal executive, and representing the interests of residents in Belo Horizonte, Brazil.
  • F. None of above. chosen

Provenance (2 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd81794819091b528600e322d7b completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.