Triple

T10306407
Position Surface form Disambiguated ID Type / Status
Subject Mondoñedo E241771 entity
Predicate region P40 FINISHED
Object A Mariña
A Mariña is a coastal comarca in the province of Lugo, Galicia, known for its rugged cliffs, beaches, and historic towns along Spain’s northern Atlantic coast.
 E854330 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: A Mariña | Statement: [Mondoñedo, region, A Mariña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A Mariña
Context triple: [Mondoñedo, region, A Mariña]
  • A. La Marina
    La Marina is a traditional coastal region of Cantabria in northern Spain, known for its seaside towns, beaches, and maritime landscapes.
  • B. La Flotte
    La Flotte is a picturesque seaside village on France’s Île de Ré, known for its historic harbor, narrow streets, and traditional whitewashed houses with green shutters.
  • C. Hæren
    Hæren is the land warfare branch of Norway’s armed forces, responsible for ground-based military operations and national defense.
  • D. Navy
    The Navy is a nation's maritime military force responsible for conducting naval operations, securing sea lanes, and projecting power at sea.
  • E. Flotta
    Flotta is a small island in the Orkney archipelago of Scotland, known for its oil terminal and role in North Sea petroleum operations.
  • 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: A Mariña
Triple: [Mondoñedo, region, A Mariña]
Generated description
A Mariña is a coastal comarca in the province of Lugo, Galicia, known for its rugged cliffs, beaches, and historic towns along Spain’s northern Atlantic coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A Mariña
Target entity description: A Mariña is a coastal comarca in the province of Lugo, Galicia, known for its rugged cliffs, beaches, and historic towns along Spain’s northern Atlantic coast.
  • A. La Marina
    La Marina is a traditional coastal region of Cantabria in northern Spain, known for its seaside towns, beaches, and maritime landscapes.
  • B. La Flotte
    La Flotte is a picturesque seaside village on France’s Île de Ré, known for its historic harbor, narrow streets, and traditional whitewashed houses with green shutters.
  • C. Hæren
    Hæren is the land warfare branch of Norway’s armed forces, responsible for ground-based military operations and national defense.
  • D. Navy
    The Navy is a nation's maritime military force responsible for conducting naval operations, securing sea lanes, and projecting power at sea.
  • E. Flotta
    Flotta is a small island in the Orkney archipelago of Scotland, known for its oil terminal and role in North Sea petroleum operations.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d30a6c888190acdd0a645247736a completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d60be1481909dc1330f150e3897 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d73185266481909e79eddc33469d8d completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d73279922c8190b616e1a61df4d227 completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:46 a.m.