Triple

T16092922
Position Surface form Disambiguated ID Type / Status
Subject Cidade do Maio E390401 entity
Predicate governingCountryCapital P204 FINISHED
Object Praia E390408 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: Praia | Statement: [Cidade do Maio, governingCountryCapital, Praia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praia
Context triple: [Cidade do Maio, governingCountryCapital, Praia]
  • A. Praia
    Praia is the capital and largest city of Cape Verde, located on the southern coast of Santiago Island in the central Atlantic Ocean.
  • B. Praia Gonçalo chosen
    Praia Gonçalo is a small coastal village on the island of Maio in Cape Verde, known for its quiet beaches and traditional island lifestyle.
  • C. Praia Dona Ana
    Praia Dona Ana is a picturesque, cliff-backed sandy beach in the Algarve region of southern Portugal, renowned for its clear waters and dramatic rock formations.
  • D. Praia Grande
    Praia Grande is a popular Atlantic beach in the Sintra region of Portugal, known for its long sandy shoreline, strong surf, and scenic cliffs.
  • E. Praia Grande
    Praia Grande is a popular sandy beach near the village of Ferragudo in Portugal’s Algarve region, known for its calm waters and family-friendly atmosphere.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858ed09881909bde122971d95753 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00077efdf48190ac26f433f6b17dbe completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 4:59 a.m.