Triple

T6891822
Position Surface form Disambiguated ID Type / Status
Subject Soule E159065 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Zuberoa
Zuberoa is the Basque-language name for Soule, a small historical and cultural province of the Basque Country located in the French Pyrenees.
 E639630 NE FINISHED

How this triple was built (4 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: Zuberoa | Statement: [Soule, hasCulturalRegion, Zuberoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zuberoa
Context triple: [Soule, hasCulturalRegion, Zuberoa]
  • A. Garrotxa
    Garrotxa is a comarca (county) in northeastern Catalonia, Spain, known for its volcanic landscape, beech forests, and the medieval town of Besalú.
  • B. Gipuzkoa
    Gipuzkoa is a coastal province in northern Spain known for its Basque culture, rugged landscapes, and the city of San Sebastián.
  • C. Bizkaia
    Bizkaia is a province in northern Spain within the Basque Country, known for its capital Bilbao and strong Basque cultural identity.
  • D. 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.
  • E. Errenteria
    Errenteria is a town and municipality in the province of Gipuzkoa in Spain’s Basque Country, known for its industrial heritage and proximity to San Sebastián.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zuberoa
Triple: [Soule, hasCulturalRegion, Zuberoa]
Generated description
Zuberoa is the Basque-language name for Soule, a small historical and cultural province of the Basque Country located in the French Pyrenees.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zuberoa
Target entity description: Zuberoa is the Basque-language name for Soule, a small historical and cultural province of the Basque Country located in the French Pyrenees.
  • A. Garrotxa
    Garrotxa is a comarca (county) in northeastern Catalonia, Spain, known for its volcanic landscape, beech forests, and the medieval town of Besalú.
  • B. Gipuzkoa
    Gipuzkoa is a coastal province in northern Spain known for its Basque culture, rugged landscapes, and the city of San Sebastián.
  • C. Bizkaia
    Bizkaia is a province in northern Spain within the Basque Country, known for its capital Bilbao and strong Basque cultural identity.
  • D. 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.
  • E. Errenteria
    Errenteria is a town and municipality in the province of Gipuzkoa in Spain’s Basque Country, known for its industrial heritage and proximity to San Sebastián.
  • F. None of above. chosen

Provenance (5 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_69c7942be8708190bad44a9966884515 completed March 28, 2026, 8:41 a.m.
NEDg Description generation batch_69c794ddbb688190b197a934c0afaea0 completed March 28, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_69c79531e0408190bbacba54914393f9 completed March 28, 2026, 8:45 a.m.
Created at: March 27, 2026, 2:24 p.m.