Triple

T8271923
Position Surface form Disambiguated ID Type / Status
Subject Costa Vicentina E193448 entity
Predicate hasBeach P1922 FINISHED
Object Praia da Arrifana E211027 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 da Arrifana | Statement: [Costa Vicentina, hasBeach, Praia da Arrifana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praia da Arrifana
Context triple: [Costa Vicentina, hasBeach, Praia da Arrifana]
  • A. Praia da Arrifana chosen
    Praia da Arrifana is a scenic Atlantic beach on Portugal’s Algarve west coast, popular with surfers and visitors for its dramatic cliffs and natural beauty.
  • B. Praia da Mareta
    Praia da Mareta is a popular sandy beach in Sagres, Portugal, known for its sheltered bay, good surf conditions, and scenic cliffs.
  • C. Praia do Castelejo
    Praia do Castelejo is a scenic, rugged Atlantic beach on Portugal’s Algarve west coast, known for its dramatic cliffs, strong surf, and relatively unspoiled natural setting.
  • D. Praia da Oura
    Praia da Oura is a popular sandy beach in Portugal’s Algarve region, known for its lively atmosphere, golden cliffs, and proximity to the resort town of Albufeira.
  • E. Praia de Calhetas
    Praia de Calhetas is a small, scenic beach in Pernambuco, Brazil, known for its clear waters, natural cove shape, and popular snorkeling and eco-tourism activities.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb798878988190a5f63c854aa070f2 completed March 31, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6ca48308190bd7a6c84d5954279 completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 5:50 p.m.