Triple

T16092778
Position Surface form Disambiguated ID Type / Status
Subject municipality of Ribeira Brava E390398 entity
Predicate containsSettlement P847 FINISHED
Object Ribeira Brava E390396 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: Ribeira Brava | Statement: [municipality of Ribeira Brava, containsSettlement, Ribeira Brava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ribeira Brava
Context triple: [municipality of Ribeira Brava, containsSettlement, Ribeira Brava]
  • A. Ribeira Brava chosen
    Ribeira Brava is the main town and administrative center of the island of São Nicolau in Cape Verde, known for its coastal setting and colonial-era architecture.
  • B. Cordinhã
    Cordinhã is a civil parish located in the municipality of Cantanhede in the Coimbra District of central Portugal.
  • C. Sertã
    Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
  • D. Ribeira de Alvor
    Ribeira de Alvor is a coastal river in the Algarve region of southern Portugal, flowing into the Alvor estuary and supporting important wetland habitats.
  • E. Cávado
    Cávado is an intermunicipal subregion in northern Portugal known for its coastal landscapes, river valleys, and historic cities such as Braga.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858ed09881909bde122971d95753 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb973c88819091fe284420088e7e completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:59 a.m.