Triple

T6572623
Position Surface form Disambiguated ID Type / Status
Subject Vila do Bispo E155477 entity
Predicate countrySubdivision P766 FINISHED
Object Algarve E6079 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: Algarve | Statement: [Vila do Bispo, countrySubdivision, Algarve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algarve
Context triple: [Vila do Bispo, countrySubdivision, Algarve]
  • A. Algarve chosen
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • B. southern Portugal
    Southern Portugal is the warm, largely rural and coastal region of Portugal that includes the Algarve and Alentejo, known for its beaches, historic towns, and Mediterranean climate.
  • C. Alentejo
    Alentejo is a large, sparsely populated region in southern Portugal known for its rolling plains, cork oak forests, vineyards, and historic whitewashed towns.
  • D. Centro Region of Portugal
    The Centro Region of Portugal is a large and diverse area in central Portugal known for its historic cities, coastal resorts, mountainous landscapes, and rich cultural heritage.
  • E. 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.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae6faa3c81908f1777d616cece46 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7867e688190aad8cc2b396a64eb completed March 27, 2026, 9:32 p.m.
Created at: March 27, 2026, 1:53 p.m.