Triple

T19275524
Position Surface form Disambiguated ID Type / Status
Subject Blas de Lezo E482042 entity
Predicate placeOfBirth P1 FINISHED
Object Gipuzkoa NE NERFINISHED

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: Gipuzkoa | Statement: [Blas de Lezo, placeOfBirth, Gipuzkoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gipuzkoa
Context triple: [Blas de Lezo, placeOfBirth, Gipuzkoa]
  • A. Gipuzkoa chosen
    Gipuzkoa is a coastal province in northern Spain known for its Basque culture, rugged landscapes, and the city of San Sebastián.
  • B. Garrotxa
    Garrotxa is a comarca (county) in northeastern Catalonia, Spain, known for its volcanic landscape, beech forests, and the medieval town of Besalú.
  • C. Álava
    Álava is a province in northern Spain known for its capital Vitoria-Gasteiz and its role as one of the three historical territories of the Basque Country.
  • D. Navarra
    Navarra is a lively piano composition by Spanish composer Isaac Albéniz, often associated with his suite of works inspired by the regions and folk music of Spain.
  • E. Bizkaia
    Bizkaia is a province in northern Spain within the Basque Country, known for its capital Bilbao and strong Basque cultural identity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbbbdf3481909abb46c71f64106a completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.