Triple

T2642203
Position Surface form Disambiguated ID Type / Status
Subject A22 E62894 entity
Predicate runsAcross P28901 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: [A22, runsAcross, Algarve coast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algarve coast
Context triple: [A22, runsAcross, Algarve coast]
  • A. Algarve chosen
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • B. 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.
  • C. 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.
  • 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. southern Portugal
    Southern Portugal is the warm, largely rural and coastal region of Portugal that includes the Algarve and Alentejo, known for its beaches, historic towns, and Mediterranean climate.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8fdc0bc8190b7fd102b87ee50d1 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc4137cc8190a67bf8be5d8e062c completed March 11, 2026, 5:23 a.m.
Created at: March 6, 2026, 9:53 p.m.