Triple

T655236
Position Surface form Disambiguated ID Type / Status
Subject Sabrosa E11633 entity
Predicate locatedIn P40 FINISHED
Object Norte Region E76433 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: Norte Region | Statement: [Sabrosa, locatedIn, Norte Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norte Region
Context triple: [Sabrosa, locatedIn, Norte Region]
  • A. Southeast Region of Brazil
    The Southeast Region of Brazil is the country’s most populous and economically developed area, encompassing major states and cities such as São Paulo, Rio de Janeiro, and Minas Gerais.
  • B. Beira Litoral
    Beira Litoral was a former central coastal province of Portugal that included the city of Coimbra and stretched between the Atlantic Ocean and the interior regions.
  • C. Centro Region chosen
    The Centro Region is an administrative region in central Portugal known for its historic cities, universities, and diverse landscapes ranging from Atlantic coastline to mountainous interiors.
  • D. Bahia
    Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
  • E. Banda Oriental
    Banda Oriental was the historical name for the eastern bank of the Río de la Plata region, corresponding largely to present-day Uruguay and parts of neighboring territories in the early 19th century.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4d57688190a9515ac494a97b22 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a591486b708190b0191e958c6c8851 completed March 2, 2026, 1:31 p.m.
Created at: March 1, 2026, 7:36 p.m.