Triple

T11327742
Position Surface form Disambiguated ID Type / Status
Subject Barcelona City Hall E268264 entity
Predicate hasPart P35 FINISHED
Object Saló de Cent
Saló de Cent is a historic Gothic ceremonial hall in Barcelona’s city hall, renowned as a former meeting place of the medieval city council.
 E919357 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: Saló de Cent | Statement: [Barcelona City Hall, hasPart, Saló de Cent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saló de Cent
Context triple: [Barcelona City Hall, hasPart, Saló de Cent]
  • A. Saló del Tinell
    Saló del Tinell is a grand medieval ceremonial hall in Barcelona, renowned for its Gothic architecture and historical role within the royal complex at Plaça del Rei.
  • B. Salza
    The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
  • C. Carosino
    Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
  • D. Capannoli
    Capannoli is a small Italian municipality in the Tuscany region, known for its rural landscapes and historic village character.
  • E. Mezzetin
    Mezzetin is a painting by Antoine Watteau depicting a melancholic commedia dell’arte musician in a theatrical, romantic setting.
  • 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: Saló de Cent
Triple: [Barcelona City Hall, hasPart, Saló de Cent]
Generated description
Saló de Cent is a historic Gothic ceremonial hall in Barcelona’s city hall, renowned as a former meeting place of the medieval city council.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saló de Cent
Target entity description: Saló de Cent is a historic Gothic ceremonial hall in Barcelona’s city hall, renowned as a former meeting place of the medieval city council.
  • A. Saló del Tinell
    Saló del Tinell is a grand medieval ceremonial hall in Barcelona, renowned for its Gothic architecture and historical role within the royal complex at Plaça del Rei.
  • B. Salza
    The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
  • C. Carosino
    Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
  • D. Capannoli
    Capannoli is a small Italian municipality in the Tuscany region, known for its rural landscapes and historic village character.
  • E. Mezzetin
    Mezzetin is a painting by Antoine Watteau depicting a melancholic commedia dell’arte musician in a theatrical, romantic setting.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e52608b7348190875597513ca1a995 completed April 19, 2026, 6:59 p.m.
NEDg Description generation batch_69e52c82b6108190aec9b6e9d726f803 completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531c2a4b88190bb1efd57536bae9a completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.