Triple

T4721477
Position Surface form Disambiguated ID Type / Status
Subject Lake Maggiore E104775 entity
Predicate hasCityOnShore P969 FINISHED
Object Luino
Luino is a town in northern Italy’s Lombardy region, known for its lakeside setting near the Swiss border and its historic weekly market.
 E475631 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: Luino | Statement: [Lake Maggiore, hasCityOnShore, Luino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luino
Context triple: [Lake Maggiore, hasCityOnShore, Luino]
  • A. Viareggio
    Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
  • B. Pesaro
    Pesaro is a coastal city on Italy’s Adriatic Sea, known for its Renaissance architecture, seaside resorts, and as the birthplace of composer Gioachino Rossini.
  • C. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • D. Rimini
    Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
  • E. La Spezia
    La Spezia is a port city in northwestern Italy known as a major naval base and gateway to the Cinque Terre on the Ligurian coast.
  • 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: Luino
Triple: [Lake Maggiore, hasCityOnShore, Luino]
Generated description
Luino is a town in northern Italy’s Lombardy region, known for its lakeside setting near the Swiss border and its historic weekly market.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luino
Target entity description: Luino is a town in northern Italy’s Lombardy region, known for its lakeside setting near the Swiss border and its historic weekly market.
  • A. Viareggio
    Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
  • B. Pesaro
    Pesaro is a coastal city on Italy’s Adriatic Sea, known for its Renaissance architecture, seaside resorts, and as the birthplace of composer Gioachino Rossini.
  • C. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • D. Rimini
    Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
  • E. La Spezia
    La Spezia is a port city in northwestern Italy known as a major naval base and gateway to the Cinque Terre on the Ligurian coast.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642a1a808190afeefc9d65e6c539 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c8a20a88190a668251abbc1c7c8 completed March 21, 2026, 8:53 a.m.
NEDg Description generation batch_69be6092fb608190a63a32dbf115a6b2 completed March 21, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69be647866088190bbb572a9b8c1cfc1 completed March 21, 2026, 9:27 a.m.
Created at: March 20, 2026, 1:18 p.m.