Triple

T23055377
Position Surface form Disambiguated ID Type / Status
Subject Diamantina E574140 entity
Predicate governingBody P46 FINISHED
Object municipal government of Diamantina — 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 Diamantina | Statement: [Diamantina, governingBody, municipal government of Diamantina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: municipal government of Diamantina
Context triple: [Diamantina, governingBody, municipal government of Diamantina]
  • A. Municipal government of Goiânia
    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.
  • B. Municipal government of Manaus
    The Municipal government of Manaus is the local public administration responsible for managing city services, urban planning, and public policies in the capital of Brazil’s Amazonas state.
  • C. 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.
  • D. Municipality of Belém
    The Municipality of Belém is the local government authority responsible for administering the city of Belém, the capital of the state of Pará in northern Brazil.
  • E. Municipal government of Morada Nova
    The Municipal government of Morada Nova is the local public administration responsible for managing services, policies, and development within the municipality of Morada Nova.
  • 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 Diamantina
Target entity description: The municipal government of Diamantina is the local administrative authority responsible for managing public services, urban planning, and community policies in the historic Brazilian city of Diamantina.
  • A. Municipal government of Goiânia
    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.
  • B. Municipal government of Manaus
    The Municipal government of Manaus is the local public administration responsible for managing city services, urban planning, and public policies in the capital of Brazil’s Amazonas state.
  • C. 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.
  • D. Municipality of Belém
    The Municipality of Belém is the local government authority responsible for administering the city of Belém, the capital of the state of Pará in northern Brazil.
  • E. Municipal government of Morada Nova
    The Municipal government of Morada Nova is the local public administration responsible for managing services, policies, and development within the municipality of Morada Nova.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867f71508190ad4513c6de2453e6 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.