Triple

T23402722
Position Surface form Disambiguated ID Type / Status
Subject Rivera E559548 entity
Predicate formsUrbanAreaWith P38278 FINISHED
Object Santana do Livramento 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: Santana do Livramento | Statement: [Rivera, formsUrbanAreaWith, Santana do Livramento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santana do Livramento
Context triple: [Rivera, formsUrbanAreaWith, Santana do Livramento]
  • A. Santana do Livramento chosen
    Santana do Livramento is a Brazilian city in the state of Rio Grande do Sul, known for forming a binational urban area with Rivera, Uruguay, along their open land border.
  • B. Cachoeirinha
    Cachoeirinha is a municipality in the state of Rio Grande do Sul in southern Brazil, located in the metropolitan region of Porto Alegre.
  • C. Serrinha dos Pintos
    Serrinha dos Pintos is a small rural municipality in the state of Rio Grande do Norte in Brazil’s Northeast region.
  • D. Vale do Taquari
    Vale do Taquari is a region in the Brazilian state of Rio Grande do Sul known for its strong German-Brazilian cultural heritage, traditions, and communities.
  • E. Carriço
    Carriço is a civil parish within the municipality of Pombal in central Portugal, known for its rural character and local community life.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e09ccc81909869d2c5f6d68432 completed April 29, 2026, 6:27 a.m.
Created at: April 17, 2026, 5:37 p.m.