Triple

T21532970
Position Surface form Disambiguated ID Type / Status
Subject Brazilian Midwest E531280 entity
Predicate containsCity P294 FINISHED
Object Várzea Grande NE NERFINISHED

How this triple was built (2 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: Várzea Grande | Statement: [Brazilian Midwest, containsCity, Várzea Grande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Várzea Grande
Context triple: [Brazilian Midwest, containsCity, Várzea Grande]
  • A. Várzea Grande chosen
    Várzea Grande is a city in the Brazilian state of Mato Grosso, located in the central-west region of the country and forming part of the metropolitan area of the state capital, Cuiabá.
  • B. Dourados
    Dourados is a major agricultural and commercial city in the Brazilian state of Mato Grosso do Sul, known as an important regional economic and educational center.
  • C. Botucatu
    Botucatu is a municipality in southeastern Brazil known for its higher-education institutions, especially São Paulo State University (UNESP), and its surrounding sandstone cliffs and natural landscapes.
  • D. Kungur
    Kungur is a historic Russian town in Perm Krai known for its ice cave, traditional trade heritage, and role as a regional cultural center.
  • E. Gravataí
    Gravataí is a municipality in the state of Rio Grande do Sul in southern Brazil, known for its industrial activity and proximity to the Porto Alegre metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0ae0e88190a6042effd93cd455 completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.