Triple

T12223375
Position Surface form Disambiguated ID Type / Status
Subject Santa Catarina E291275 entity
Predicate hasRegion P285 FINISHED
Object Grande Florianópolis E541810 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: Grande Florianópolis | Statement: [Santa Catarina, hasRegion, Grande Florianópolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grande Florianópolis
Context triple: [Santa Catarina, hasRegion, Grande Florianópolis]
  • A. Florianópolis chosen
    Florianópolis is the capital city of the Brazilian state of Santa Catarina, known for its numerous beaches, tourism, and high quality of life.
  • B. Itajaí
    Itajaí is a coastal city in the Brazilian state of Santa Catarina known for its strong German-Brazilian cultural heritage and important Atlantic port.
  • C. Ponta do Sol
    Ponta do Sol is a coastal town on the island of Santo Antão in Cape Verde, known for its dramatic oceanfront setting and role as a local administrative and fishing center.
  • D. Balneário Camboriú
    Balneário Camboriú is a popular coastal city in southern Brazil known for its high-rise skyline, busy beaches, and vibrant tourism scene.
  • E. Ribeira Grande
    Ribeira Grande is a coastal municipality and city on São Miguel Island in Portugal’s Azores archipelago, known for its historic center, hot springs, and dramatic volcanic landscapes.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a8e6ba081908428ce11196815cc completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:51 p.m.