Triple

T19799194
Position Surface form Disambiguated ID Type / Status
Subject Garrotxa E475624 entity
Predicate containsTown P847 FINISHED
Object Mieres
Mieres is a small rural municipality in the Garrotxa region of Catalonia, Spain, known for its volcanic landscape and traditional Catalan character.
E1395451 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: Mieres | Statement: [Garrotxa, containsTown, Mieres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mieres
Context triple: [Garrotxa, containsTown, Mieres]
  • A. Mieres
    Mieres is a town in the Asturias region of northern Spain known for its industrial and mining heritage and as a local educational hub.
  • B. Segorbe
    Segorbe is a historic town in eastern Spain known for its medieval architecture and traditional festivals, located in the Valencian Community.
  • C. Brunete
    Brunete is a town in the Community of Madrid, Spain, historically notable as a major battleground of the Spanish Civil War.
  • D. Porrera
    Porrera is a village and municipality in Catalonia, Spain, known for its wine production within the renowned Priorat wine region.
  • E. Sarria
    Sarria is a historic town in the province of Lugo, Galicia, Spain, known today as a major starting point on the Camino de Santiago pilgrimage route.
  • 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: Mieres
Triple: [Garrotxa, containsTown, Mieres]
Generated description
Mieres is a small rural municipality in the Garrotxa region of Catalonia, Spain, known for its volcanic landscape and traditional Catalan character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mieres
Target entity description: Mieres is a small rural municipality in the Garrotxa region of Catalonia, Spain, known for its volcanic landscape and traditional Catalan character.
  • A. Mieres
    Mieres is a town in the Asturias region of northern Spain known for its industrial and mining heritage and as a local educational hub.
  • B. Segorbe
    Segorbe is a historic town in eastern Spain known for its medieval architecture and traditional festivals, located in the Valencian Community.
  • C. Brunete
    Brunete is a town in the Community of Madrid, Spain, historically notable as a major battleground of the Spanish Civil War.
  • D. Porrera
    Porrera is a village and municipality in Catalonia, Spain, known for its wine production within the renowned Priorat wine region.
  • E. Sarria
    Sarria is a historic town in the province of Lugo, Galicia, Spain, known today as a major starting point on the Camino de Santiago pilgrimage route.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c930a08190a2263db7170edd71 completed April 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c50696588190a54cc249f2218b26 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c6509f4c8190aee658954c6cf920 completed May 16, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_6a07c7549de08190916e3e48125beebb completed May 16, 2026, 1:24 a.m.
Created at: April 10, 2026, 1:49 p.m.