Triple

T15948564
Position Surface form Disambiguated ID Type / Status
Subject Oliveira do Bairro E386752 entity
Predicate locatedIn P40 FINISHED
Object Baixo Vouga E1067786 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: Baixo Vouga | Statement: [Oliveira do Bairro, locatedIn, Baixo Vouga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baixo Vouga
Context triple: [Oliveira do Bairro, locatedIn, Baixo Vouga]
  • A. Baixo Vouga chosen
    Baixo Vouga is a subregion in central Portugal known for its coastal plains, wetlands, and the city of Aveiro, often called the "Venice of Portugal."
  • B. Gurgueia River
    The Gurgueia River is a significant river in the Brazilian state of Piauí, serving as an important waterway for the region’s ecosystems and local communities.
  • C. Rio Zêzere
    Rio Zêzere is a major river in central Portugal known for its scenic valleys, hydroelectric dams, and role as a tributary of the Tagus River.
  • D. Gilão River
    The Gilão River is a waterway in Portugal’s Algarve region that flows through the historic town of Tavira before reaching the Atlantic Ocean.
  • E. Baixo Mondego
    Baixo Mondego is a subregion in central Portugal known for its fertile river plains, intensive agriculture, and the city of Coimbra as its main urban center.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d3cc04819097367369a78d6ef2 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c207588190a3d17e5f09d12997 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.