Triple

T596945
Position Surface form Disambiguated ID Type / Status
Subject Viareggio Prize E11405 entity
Predicate namedAfter P63 FINISHED
Object Viareggio
Viareggio is a coastal city in Tuscany, Italy, known for its seaside resorts, Art Nouveau architecture, and famous annual Carnival.
 E48211 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: Viareggio | Statement: [Viareggio Prize, namedAfter, Viareggio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viareggio
Context triple: [Viareggio Prize, namedAfter, Viareggio]
  • A. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • B. Rimini
    Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
  • C. Bari
    Bari is a major port city in southern Italy that served as an important Allied military hub and logistics center during World War II.
  • D. Forte dei Marmi
    Forte dei Marmi is an upscale seaside resort town on the Tuscan coast of Italy, known for its sandy beaches, luxury villas, and popularity among affluent vacationers.
  • E. Sanremo
    Sanremo is a coastal city on Italy’s Ligurian Riviera, known as a historic resort destination and host of the annual Sanremo Music Festival.
  • 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: Viareggio
Triple: [Viareggio Prize, namedAfter, Viareggio]
Generated description
Viareggio is a coastal city in Tuscany, Italy, known for its seaside resorts, Art Nouveau architecture, and famous annual Carnival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viareggio
Target entity description: Viareggio is a coastal city in Tuscany, Italy, known for its seaside resorts, Art Nouveau architecture, and famous annual Carnival.
  • A. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • B. Rimini
    Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
  • C. Bari
    Bari is a major port city in southern Italy that served as an important Allied military hub and logistics center during World War II.
  • D. Forte dei Marmi chosen
    Forte dei Marmi is an upscale seaside resort town on the Tuscan coast of Italy, known for its sandy beaches, luxury villas, and popularity among affluent vacationers.
  • E. Sanremo
    Sanremo is a coastal city on Italy’s Ligurian Riviera, known as a historic resort destination and host of the annual Sanremo Music Festival.
  • F. None of above.

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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d2b98d08190a1c1e8659efdfd75 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3b93323c8190948dd9993a468a78 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c21404c8190bf12bb730a1acc54 completed March 7, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69ac3ccb05f0819080aa215cc1fb2430 completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:35 p.m.