Triple

T1891182
Position Surface form Disambiguated ID Type / Status
Subject District of Faro E41876 entity
Predicate knownFor P22 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: [District of Faro, knownFor, Algarve coastline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algarve coastline
Context triple: [District of Faro, knownFor, Algarve coastline]
  • 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. 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.
  • D. Barlavento Algarvio
    Barlavento Algarvio is the western coastal subregion of Portugal’s Algarve, known for its scenic beaches, cliffs, and popular tourist resorts.
  • E. Lisbon Coast
    Lisbon Coast is a scenic stretch of shoreline in western Portugal known for its historic seaside towns, sandy beaches, and proximity to the capital city of Lisbon.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb14475448190b291ada3454bf98b completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae030bfbcc8190842a2bc69afb0db2 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:34 p.m.