Triple

T8554205
Position Surface form Disambiguated ID Type / Status
Subject Marquês de Sapucaí E202522 entity
Predicate hasTerritorialDesignation P974 FINISHED
Object Sapucaí E735958 NE FINISHED

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: Sapucaí | Statement: [Marquês de Sapucaí, hasTerritorialDesignation, Sapucaí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sapucaí
Context triple: [Marquês de Sapucaí, hasTerritorialDesignation, Sapucaí]
  • A. Sapucaí River chosen
    The Sapucaí River is a watercourse in southeastern Brazil that flows through the state of Minas Gerais, including the city of Itajubá, before joining larger river systems in the region.
  • B. Várzea Paulista
    Várzea Paulista is a municipality in southeastern Brazil known for its integration into the industrial and services corridor of the São Paulo metropolitan region.
  • C. Canindé
    Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
  • D. Itatiba
    Itatiba is a municipality in southeastern Brazil known for its quality of life and proximity to the metropolitan region of Campinas in the state of São Paulo.
  • E. Pacajus
    Pacajus is a municipality in the state of Ceará in northeastern Brazil, known for its growing industrial activity and proximity to the Fortaleza metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe8894e7c8190bc0ae2ceec473ecb completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce892efdf8819093c966bd8f6c8065 completed April 2, 2026, 3:20 p.m.
Created at: March 30, 2026, 6:19 p.m.