Triple

T8206809
Position Surface form Disambiguated ID Type / Status
Subject Costa da Morte E191707 entity
Predicate contains P35 FINISHED
Object Dumbría
Dumbría is a small municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and proximity to the rugged Atlantic coastline.
E720442 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: Dumbría | Statement: [Costa da Morte, contains, Dumbría]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dumbría
Context triple: [Costa da Morte, contains, Dumbría]
  • A. Quiriego
    Quiriego is a rural municipality in the Mexican state of Sonora, known for its agricultural activities and small, dispersed communities.
  • B. Valdemaqueda
    Valdemaqueda is a small municipality in the Community of Madrid, Spain, known for its rural landscape and proximity to the Sierra de Guadarrama.
  • C. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • D. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • E. Requena
    Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
  • 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: Dumbría
Triple: [Costa da Morte, contains, Dumbría]
Generated description
Dumbría is a small municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and proximity to the rugged Atlantic coastline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dumbría
Target entity description: Dumbría is a small municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and proximity to the rugged Atlantic coastline.
  • A. Quiriego
    Quiriego is a rural municipality in the Mexican state of Sonora, known for its agricultural activities and small, dispersed communities.
  • B. Valdemaqueda
    Valdemaqueda is a small municipality in the Community of Madrid, Spain, known for its rural landscape and proximity to the Sierra de Guadarrama.
  • C. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • D. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • E. Requena
    Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726b520081908ce4a03bd14dfcdf completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34b49fb88190b30a89d594ed4ada completed April 1, 2026, 3:07 p.m.
NEDg Description generation batch_69cd36ef47e88190ae96ea2459552247 completed April 1, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69cd4e9d362481908283d58b03c7ef9b completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:43 p.m.