Triple

T17626216
Position Surface form Disambiguated ID Type / Status
Subject Martín de Álzaga E429849 entity
Predicate ethnicGroup P194 FINISHED
Object Basque 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: Basque | Statement: [Martín de Álzaga, ethnicGroup, Basque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basque
Context triple: [Martín de Álzaga, ethnicGroup, Basque]
  • A. Basque chosen
    Basque is a unique, ancient language isolate spoken by the Basque people in northern Spain and southwestern France, unrelated to any other known language family.
  • B. Gipuzkoan Basque
    Gipuzkoan Basque is a central dialect of the Basque language spoken mainly in the province of Gipuzkoa in Spain and often used as a basis for the standardized written form.
  • C. Navarrese–Lapurdian Basque
    Navarrese–Lapurdian Basque is a major western dialect of the Basque language spoken primarily in the Navarre and Labourd regions of Spain and France.
  • D. Lebasque
    Lebasque is the surname of French post-impressionist painter Henri Lebasque, known for his light-filled, intimate domestic and landscape scenes.
  • E. Euskara Batua
    Euskara Batua is the standardized form of the Basque language used in education, media, and official contexts across the Basque-speaking regions.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbd122c8190a5db8c0088c81034 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.