Triple

T15568864
Position Surface form Disambiguated ID Type / Status
Subject Aveiro District E374185 entity
Predicate containsGeographicalFeature P1094 FINISHED
Object Ria de Aveiro E816309 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: Ria de Aveiro | Statement: [Aveiro District, containsGeographicalFeature, Ria de Aveiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ria de Aveiro
Context triple: [Aveiro District, containsGeographicalFeature, Ria de Aveiro]
  • A. Ria de Aveiro chosen
    Ria de Aveiro is a coastal lagoon in central Portugal known for its canals, salt pans, and rich wetland biodiversity.
  • B. 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.
  • C. 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.
  • D. Nazaré
    Nazaré is a Portuguese coastal town famous for its massive Atlantic waves and big-wave surfing.
  • E. 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.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4440a481909699a7eee25a4b24 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.