Triple

T14482539
Position Surface form Disambiguated ID Type / Status
Subject Organización Ciclista Euskadi E359145 entity
Predicate regionServed P82 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: [Organización Ciclista Euskadi, regionServed, Euskadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euskadi
Context triple: [Organización Ciclista Euskadi, regionServed, 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 a coastal community in northwest Florida known for its white-sand beaches and family-friendly atmosphere along the Gulf of Mexico.
  • D. 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.
  • E. Gipuzkoa
    Gipuzkoa is a coastal province in northern Spain known for its Basque culture, rugged landscapes, and the city of San Sebastián.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924bc548819087a2f693840d7426 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a3e32fc8190822aeb633b60af6b completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:20 a.m.