Triple

T10645079
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Area of Barcelona E250814 entity
Predicate containsMunicipality P852 FINISHED
Object Sitges
Sitges is a coastal town in Catalonia, Spain, known for its beaches, modernist architecture, and vibrant cultural and LGBTQ+ scenes.
E878124 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: Sitges | Statement: [Metropolitan Area of Barcelona, containsMunicipality, Sitges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sitges
Context triple: [Metropolitan Area of Barcelona, containsMunicipality, Sitges]
  • A. Girona
    Girona is a historic city in northeastern Catalonia, Spain, known for its well-preserved medieval architecture, walled Old Quarter, and prominent cathedral.
  • B. Begur
    Begur is a picturesque coastal town in Catalonia, Spain, known for its medieval hilltop castle, charming old quarter, and scenic beaches along the Costa Brava.
  • C. Buñol
    Buñol is a small town in Spain’s Valencia region best known for hosting the annual La Tomatina tomato-throwing festival.
  • D. Figueres
    Figueres is a town in Catalonia, Spain, best known as the birthplace of surrealist artist Salvador Dalí and home to the Dalí Theatre-Museum.
  • E. Sant Feliu de Guíxols
    Sant Feliu de Guíxols is a coastal town on Spain’s Costa Brava known for its historic Benedictine monastery, Mediterranean beaches, and tourism.
  • 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: Sitges
Triple: [Metropolitan Area of Barcelona, containsMunicipality, Sitges]
Generated description
Sitges is a coastal town in Catalonia, Spain, known for its beaches, modernist architecture, and vibrant cultural and LGBTQ+ scenes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sitges
Target entity description: Sitges is a coastal town in Catalonia, Spain, known for its beaches, modernist architecture, and vibrant cultural and LGBTQ+ scenes.
  • A. Girona
    Girona is a historic city in northeastern Catalonia, Spain, known for its well-preserved medieval architecture, walled Old Quarter, and prominent cathedral.
  • B. Begur
    Begur is a picturesque coastal town in Catalonia, Spain, known for its medieval hilltop castle, charming old quarter, and scenic beaches along the Costa Brava.
  • C. Buñol
    Buñol is a small town in Spain’s Valencia region best known for hosting the annual La Tomatina tomato-throwing festival.
  • D. Figueres
    Figueres is a town in Catalonia, Spain, best known as the birthplace of surrealist artist Salvador Dalí and home to the Dalí Theatre-Museum.
  • E. Sant Feliu de Guíxols
    Sant Feliu de Guíxols is a coastal town on Spain’s Costa Brava known for its historic Benedictine monastery, Mediterranean beaches, and tourism.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe120908190ab91c38d57133739 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a580d388190aea5edadd4afc0d1 completed April 10, 2026, 10:31 p.m.
NEDg Description generation batch_69d97cc20448819094d650b9c1067dca completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e0cda0c8190af5013b971b2ad3c completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:05 p.m.