Triple

T23082432
Position Surface form Disambiguated ID Type / Status
Subject Três Lagoas E575510 entity
Predicate governingBody P46 FINISHED
Object municipal government of Três Lagoas — 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 Três Lagoas | Statement: [Três Lagoas, governingBody, municipal government of Três Lagoas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: municipal government of Três Lagoas
Context triple: [Três Lagoas, governingBody, municipal government of Três Lagoas]
  • A. 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.
  • B. 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.
  • C. municipal government of Dourados
    The municipal government of Dourados is the local public administration responsible for managing services, infrastructure, and policies within the city of Dourados, Brazil.
  • D. 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.
  • E. Municipal government of Sorocaba
    The Municipal government of Sorocaba is the local public administration responsible for managing the city’s services, policies, and development in Sorocaba, 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 Três Lagoas
Target entity description: The municipal government of Três Lagoas is the local public administration responsible for managing services, infrastructure, and policies within the city of Três Lagoas, Brazil.
  • A. 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.
  • B. 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.
  • C. municipal government of Dourados
    The municipal government of Dourados is the local public administration responsible for managing services, infrastructure, and policies within the city of Dourados, Brazil.
  • D. 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.
  • E. Municipal government of Sorocaba
    The Municipal government of Sorocaba is the local public administration responsible for managing the city’s services, policies, and development in Sorocaba, 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da239e48190ad041261c6b510a0 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:56 p.m.