Triple

T6891953
Position Surface form Disambiguated ID Type / Status
Subject Nervión River E159068 entity
Predicate flowsThrough P225 FINISHED
Object Euskadi E29243 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: Euskadi | Statement: [Nervión River, flowsThrough, Euskadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euskadi
Context triple: [Nervión River, flowsThrough, Euskadi]
  • A. Basque Country chosen
    The Basque Country is an autonomous region in northern Spain and southwestern France known for its distinct Basque language, culture, and strong regional identity.
  • B. 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.
  • C. Navarre
    Navarre is an autonomous community and historical region in northern Spain known for its diverse landscapes, rich cultural traditions, and capital city of Pamplona.
  • D. Gipuzkoa
    Gipuzkoa is a coastal province in northern Spain known for its Basque culture, rugged landscapes, and the city of San Sebastián.
  • E. Catalonia
    Catalonia is an autonomous community in northeastern Spain with a distinct Catalan language and culture, a strong regional identity, and Barcelona as its capital.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d92ecbdc8190992f9c7f4f33f4c4 completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8109adff8819081426b44ae70bdfb completed March 28, 2026, 5:32 p.m.
Created at: March 27, 2026, 2:24 p.m.