Triple

T19799191
Position Surface form Disambiguated ID Type / Status
Subject Garrotxa E475624 entity
Predicate containsTown P847 FINISHED
Object Argelaguer
Argelaguer is a small municipality in the comarca of Garrotxa in Catalonia, northeastern Spain, known for its rural setting and proximity to volcanic landscapes.
 E1395448 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: Argelaguer | Statement: [Garrotxa, containsTown, Argelaguer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Argelaguer
Context triple: [Garrotxa, containsTown, Argelaguer]
  • A. Syphax
    Syphax was a Numidian king who played a major role in the Second Punic War, notably opposing Rome alongside Carthage before ultimately being defeated and captured.
  • B. Thugga
    Thugga is an ancient Roman-Berber city in modern-day Tunisia renowned for its well-preserved ruins and status as a UNESCO World Heritage Site.
  • C. Tarracus
    Tarracus is the official mascot character created for the 2018 Mediterranean Games held in Tarragona, Spain.
  • D. Teuta
    Teuta was a powerful Illyrian queen of the 3rd century BCE known for her naval power and conflicts with the Roman Republic.
  • E. Boutella
    Boutella is a surname most notably associated with Algerian artists and entertainers, including composer Safy Boutella and actress-dancer Sofia Boutella.
  • 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: Argelaguer
Triple: [Garrotxa, containsTown, Argelaguer]
Generated description
Argelaguer is a small municipality in the comarca of Garrotxa in Catalonia, northeastern Spain, known for its rural setting and proximity to volcanic landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Argelaguer
Target entity description: Argelaguer is a small municipality in the comarca of Garrotxa in Catalonia, northeastern Spain, known for its rural setting and proximity to volcanic landscapes.
  • A. Syphax
    Syphax was a Numidian king who played a major role in the Second Punic War, notably opposing Rome alongside Carthage before ultimately being defeated and captured.
  • B. Thugga
    Thugga is an ancient Roman-Berber city in modern-day Tunisia renowned for its well-preserved ruins and status as a UNESCO World Heritage Site.
  • C. Tarracus
    Tarracus is the official mascot character created for the 2018 Mediterranean Games held in Tarragona, Spain.
  • D. Teuta
    Teuta was a powerful Illyrian queen of the 3rd century BCE known for her naval power and conflicts with the Roman Republic.
  • E. Boutella
    Boutella is a surname most notably associated with Algerian artists and entertainers, including composer Safy Boutella and actress-dancer Sofia Boutella.
  • 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.