Triple

T2051702
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Albufeira E45582 entity
Predicate hasCoastlineOn P212 FINISHED
Object Algarve coast 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 coast | Statement: [Municipality of Albufeira, hasCoastlineOn, Algarve coast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algarve coast
Context triple: [Municipality of Albufeira, hasCoastlineOn, Algarve coast]
  • A. Algarve chosen
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • B. Costa da Caparica
    Costa da Caparica is a coastal town and popular beach destination just south of Lisbon, Portugal, known for its long sandy shoreline and Atlantic surf.
  • C. Barlavento Algarvio
    Barlavento Algarvio is the western coastal subregion of Portugal’s Algarve, known for its scenic beaches, cliffs, and popular tourist resorts.
  • D. Costa Vicentina
    Costa Vicentina is a rugged, largely unspoiled stretch of Portugal’s southwestern Atlantic coastline, known for its dramatic cliffs, wild beaches, and protected natural landscapes.
  • E. Costa da Morte
    Costa da Morte is a rugged, Atlantic-battered coastal region in northwestern Spain known for its dramatic cliffs, lighthouses, and history of shipwrecks.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb99078d88190bc30fa4596f0bae8 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2009951881909d562821fef39c88 completed March 9, 2026, 1:19 a.m.
Created at: March 4, 2026, 7:39 p.m.