Triple

T8271700
Position Surface form Disambiguated ID Type / Status
Subject Fóia viewpoint E193443 entity
Predicate hasView P854 FINISHED
Object Algarve coastline 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 coastline | Statement: [Fóia viewpoint, hasView, Algarve coastline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algarve coastline
Context triple: [Fóia viewpoint, hasView, Algarve coastline]
  • A. Albufeira coastline
    The Albufeira coastline is a popular stretch of Portugal’s Algarve region known for its sandy beaches, dramatic cliffs, and vibrant seaside tourism.
  • B. Portuguese Riviera
    The Portuguese Riviera is a glamorous coastal region west of Lisbon known for its historic seaside resorts, casinos, beaches, and affluent lifestyle.
  • C. Eastern Algarve
    Eastern Algarve is the less-developed, quieter eastern stretch of Portugal’s Algarve coast, known for its traditional towns, lagoons, and unspoiled beaches near the Spanish border.
  • D. 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.
  • E. Algarve chosen
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • 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_69cb7986f8cc8190a529dda980dd6e98 completed March 31, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68470f8481909df50c5b6c3cf50c completed April 1, 2026, 6:47 p.m.
Created at: March 30, 2026, 5:50 p.m.