Triple

T14935603
Position Surface form Disambiguated ID Type / Status
Subject Echenique E372383 entity
Predicate languageOfOrigin P151 FINISHED
Object Basque E42297 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: Basque | Statement: [Echenique, languageOfOrigin, Basque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basque
Context triple: [Echenique, languageOfOrigin, 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 (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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded647ae388190a0e97c03f2a4d832 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8c8d188190b027f14256b0ce01 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:37 a.m.