Triple

T8409426
Position Surface form Disambiguated ID Type / Status
Subject Rías Altas E198583 entity
Predicate contains P35 FINISHED
Object Fisterra E719447 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: Fisterra | Statement: [Rías Altas, contains, Fisterra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fisterra
Context triple: [Rías Altas, contains, Fisterra]
  • A. Fisterra chosen
    Fisterra is a coastal town in Galicia, Spain, famed as a dramatic “end of the world” point on the Atlantic and a traditional extension of the Camino de Santiago pilgrimage.
  • B. Dumbría
    Dumbría is a small municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and proximity to the rugged Atlantic coastline.
  • C. Valdemaqueda
    Valdemaqueda is a small municipality in the Community of Madrid, Spain, known for its rural landscape and proximity to the Sierra de Guadarrama.
  • D. Naut Aran
    Naut Aran is a mountainous municipality in the Catalan Pyrenees of northeastern Spain, known for its ski resorts, Romanesque heritage, and location within the Val d’Aran.
  • E. Yaiza
    Yaiza is a coastal municipality on the Spanish island of Lanzarote in the Canary Islands, known for its volcanic landscapes and proximity to Timanfaya National Park.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8317045c8190b69cc99854b633be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce030dccf08190a70c0abf0bdcf244 completed April 2, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:05 p.m.