Triple

T4017742
Position Surface form Disambiguated ID Type / Status
Subject Santo António Beach E91203 entity
Predicate partOf P40 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: [Santo António Beach, partOf, Algarve coast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algarve coast
Context triple: [Santo António Beach, partOf, Algarve coast]
  • A. 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.
  • B. Algarve chosen
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • C. 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.
  • D. 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.
  • E. Barlavento Algarvio
    Barlavento Algarvio is the western coastal subregion of Portugal’s Algarve, known for its scenic beaches, cliffs, and popular tourist resorts.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa85ac881909e46fb3d76a794af completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b47294c8190871f4a6a57b3470f completed March 14, 2026, 2:05 p.m.
Created at: March 9, 2026, 3:35 p.m.