Triple

T17106756
Position Surface form Disambiguated ID Type / Status
Subject Baixada Santista E415119 entity
Predicate containsCity P294 FINISHED
Object Mongaguá E1005177 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: Mongaguá | Statement: [Baixada Santista, containsCity, Mongaguá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mongaguá
Context triple: [Baixada Santista, containsCity, Mongaguá]
  • A. Mongaguá chosen
    Mongaguá is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and tourism along the Atlantic Ocean.
  • B. Canindé
    Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
  • C. Yaguará
    Yaguará is a municipality and town in the Huila Department of southwestern Colombia, known for its proximity to the Betania Reservoir and its agricultural activities.
  • D. Río Casiguaguas
    Río Casiguaguas is a river in Havana, Cuba, better known today as the Almendares River, which flows through the city and plays a key role in its history and water supply.
  • E. Tucurú
    Tucurú is a municipality and town located in the Alta Verapaz Department of central Guatemala, known for its rural setting and agricultural activities.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2750b481908de18e8cb8f2195c completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a019540819083ce6100b24f8cfb completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.