Triple

T10043922
Position Surface form Disambiguated ID Type / Status
Subject Gipuzkoa E205362 entity
Predicate officialName P66 FINISHED
Object Gipuzkoa E205362 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: Gipuzkoa | Statement: [Gipuzkoa, officialName, Gipuzkoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gipuzkoa
Context triple: [Gipuzkoa, officialName, 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 (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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf61b3e08190b69bcf67b6a95342 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b60e988c8190839a088e65b15d07 completed April 5, 2026, 7:20 p.m.
Created at: March 30, 2026, 8:55 p.m.