Triple

T23498532
Position Surface form Disambiguated ID Type / Status
Subject Ladário E571769 entity
Predicate governingBody P46 FINISHED
Object Municipal government of Ladário 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 Ladário | Statement: [Ladário, governingBody, Municipal government of Ladário]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Municipal government of Ladário
Context triple: [Ladário, governingBody, Municipal government of Ladário]
  • A. Municipal government of Lajeado
    The Municipal government of Lajeado is the local public administration responsible for managing services, policies, and development within the city of Lajeado, Brazil.
  • B. Municipal government of Laranjal Paulista
    The Municipal government of Laranjal Paulista is the local public administration responsible for managing services, infrastructure, and policies within the Brazilian municipality of Laranjal Paulista.
  • C. 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.
  • D. Municipal government of São Leopoldo
    The Municipal government of São Leopoldo is the local public administration responsible for managing city services, urban planning, and municipal policies in São Leopoldo, Brazil.
  • E. Municipal government of Cuiabá
    The Municipal government of Cuiabá is the local public administration responsible for managing city services, urban planning, and municipal policies in the capital of Brazil’s Mato Grosso state.
  • 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 Ladário
Target entity description: The Municipal government of Ladário is the local public administration responsible for managing services, policies, and development within the Brazilian municipality of Ladário.
  • A. Municipal government of Lajeado
    The Municipal government of Lajeado is the local public administration responsible for managing services, policies, and development within the city of Lajeado, Brazil.
  • B. Municipal government of Laranjal Paulista
    The Municipal government of Laranjal Paulista is the local public administration responsible for managing services, infrastructure, and policies within the Brazilian municipality of Laranjal Paulista.
  • C. 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.
  • D. Municipal government of São Leopoldo
    The Municipal government of São Leopoldo is the local public administration responsible for managing city services, urban planning, and municipal policies in São Leopoldo, Brazil.
  • E. Municipal government of Cuiabá
    The Municipal government of Cuiabá is the local public administration responsible for managing city services, urban planning, and municipal policies in the capital of Brazil’s Mato Grosso state.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7e184ec8190aff3677c9b00a8f2 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:06 p.m.