Triple

T9732030
Position Surface form Disambiguated ID Type / Status
Subject Aveiro E235768 entity
Predicate locatedNear P294 FINISHED
Object Ria de Aveiro
Ria de Aveiro is a coastal lagoon in central Portugal known for its canals, salt pans, and rich wetland biodiversity.
E816309 NE FINISHED

How this triple was built (4 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: Ria de Aveiro | Statement: [Aveiro, locatedNear, Ria de Aveiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ria de Aveiro
Context triple: [Aveiro, locatedNear, Ria de Aveiro]
  • A. Cascais Bay
    Cascais Bay is a scenic coastal inlet on Portugal’s Atlantic coast, known for its sandy beaches, marina, and role as a popular seaside destination near Lisbon.
  • B. Beira-Mar
    Beira-Mar is a Portuguese football club based in Aveiro, known for competing in the country’s professional leagues and developing notable players such as Eusébio.
  • C. Nazaré
    Nazaré is a Portuguese coastal town famous for its massive Atlantic waves and big-wave surfing.
  • D. Ria da Coruña
    Ria da Coruña is a coastal inlet on the Atlantic Ocean in northwestern Spain that forms the natural harbor and maritime setting of the city of A Coruña.
  • E. Ribeira Brava
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ria de Aveiro
Triple: [Aveiro, locatedNear, Ria de Aveiro]
Generated description
Ria de Aveiro is a coastal lagoon in central Portugal known for its canals, salt pans, and rich wetland biodiversity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ria de Aveiro
Target entity description: Ria de Aveiro is a coastal lagoon in central Portugal known for its canals, salt pans, and rich wetland biodiversity.
  • A. Cascais Bay
    Cascais Bay is a scenic coastal inlet on Portugal’s Atlantic coast, known for its sandy beaches, marina, and role as a popular seaside destination near Lisbon.
  • B. Beira-Mar
    Beira-Mar is a Portuguese football club based in Aveiro, known for competing in the country’s professional leagues and developing notable players such as Eusébio.
  • C. Nazaré
    Nazaré is a Portuguese coastal town famous for its massive Atlantic waves and big-wave surfing.
  • D. Ria da Coruña
    Ria da Coruña is a coastal inlet on the Atlantic Ocean in northwestern Spain that forms the natural harbor and maritime setting of the city of A Coruña.
  • E. Ribeira Brava
    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.
  • F. None of above. chosen

Provenance (5 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb3d6e4819090b3c7fb92550c57 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fbbba2081909a15725a68423162 completed April 4, 2026, 11:33 p.m.
NEDg Description generation batch_69d1a065ce008190985b792302daa7cb completed April 4, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_69d1a0f811fc8190b6a46a0441159089 completed April 4, 2026, 11:38 p.m.
Created at: March 30, 2026, 8:22 p.m.