Triple

T10401290
Position Surface form Disambiguated ID Type / Status
Subject Região dos Lagos E245151 entity
Predicate contains P35 FINISHED
Object Cabo Frio E239084 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: Cabo Frio | Statement: [Região dos Lagos, contains, Cabo Frio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabo Frio
Context triple: [Região dos Lagos, contains, Cabo Frio]
  • A. Cabo Frio chosen
    Cabo Frio is a coastal city in southeastern Brazil known for its white-sand beaches, clear waters, and tourism-driven economy.
  • B. São Sebastião do Rio de Janeiro
    São Sebastião do Rio de Janeiro is the formal, historical name of the Brazilian city of Rio de Janeiro, originally dedicated to Saint Sebastian.
  • 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. Búzios
    Búzios is a popular Brazilian coastal resort town on the Atlantic Ocean, known for its beaches, nightlife, and upscale tourism.
  • E. Ribeira Grande
    Ribeira Grande is a coastal town and municipality on the island of Santo Antão in Cape Verde, known for its dramatic mountainous landscapes and traditional Cape Verdean culture.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e2f11c8190b30695cba2975544 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d8580788190a4948984fbc2f57d completed April 10, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:07 p.m.