Triple

T6891774
Position Surface form Disambiguated ID Type / Status
Subject Biscay E159064 entity
Predicate contains P35 FINISHED
Object Ondarroa
Ondarroa is a coastal fishing town and municipality in the Basque province of Biscay in northern Spain, known for its port and traditional maritime character.
 E159064 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: Ondarroa | Statement: [Biscay, contains, Ondarroa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ondarroa
Context triple: [Biscay, contains, Ondarroa]
  • 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. Biscay
    Biscay is a coastal province in northern Spain, known for its capital Bilbao and its role as a historic and cultural center of the Basque Country.
  • D. Leioa
    Leioa is a suburban municipality in the Basque Country in northern Spain, located near Bilbao in the province of Biscay.
  • 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: Ondarroa
Triple: [Biscay, contains, Ondarroa]
Generated description
Ondarroa is a coastal fishing town and municipality in the Basque province of Biscay in northern Spain, known for its port and traditional maritime character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ondarroa
Target entity description: Ondarroa is a coastal fishing town and municipality in the Basque province of Biscay in northern Spain, known for its port and traditional maritime character.
  • 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. Biscay chosen
    Biscay is a coastal province in northern Spain, known for its capital Bilbao and its role as a historic and cultural center of the Basque Country.
  • D. Leioa
    Leioa is a suburban municipality in the Basque Country in northern Spain, located near Bilbao in the province of Biscay.
  • 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.

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_69c7511fbe808190bc3dfb7c34a7cbb6 completed March 28, 2026, 3:55 a.m.
NEDg Description generation batch_69c7524d677c81909531ba9bb46f2632 completed March 28, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_69c752bef2808190843f3cad53aa5702 completed March 28, 2026, 4:02 a.m.
Created at: March 27, 2026, 2:24 p.m.