Triple

T7594095
Position Surface form Disambiguated ID Type / Status
Subject Ronco sopra Ascona E179810 entity
Predicate hasSettlement P1068 FINISHED
Object Porto Ronco
Porto Ronco is a lakeside locality on Lake Maggiore in the Swiss canton of Ticino, known for its scenic waterfront and proximity to Ascona.
E674741 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: Porto Ronco | Statement: [Ronco sopra Ascona, hasSettlement, Porto Ronco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto Ronco
Context triple: [Ronco sopra Ascona, hasSettlement, Porto Ronco]
  • A. Camporosso
    Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
  • B. Ceresole Reale
    Ceresole Reale is a small alpine municipality in Italy’s Piedmont region, known for its lakes, mountain landscapes, and role as a gateway to Gran Paradiso National Park.
  • C. Montagnola
    Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
  • D. Poggio
    Poggio is a small village on the Italian island of Elba, known for its scenic hillside setting near Monte Capanne.
  • E. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • 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: Porto Ronco
Triple: [Ronco sopra Ascona, hasSettlement, Porto Ronco]
Generated description
Porto Ronco is a lakeside locality on Lake Maggiore in the Swiss canton of Ticino, known for its scenic waterfront and proximity to Ascona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Porto Ronco
Target entity description: Porto Ronco is a lakeside locality on Lake Maggiore in the Swiss canton of Ticino, known for its scenic waterfront and proximity to Ascona.
  • A. Camporosso
    Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
  • B. Ceresole Reale
    Ceresole Reale is a small alpine municipality in Italy’s Piedmont region, known for its lakes, mountain landscapes, and role as a gateway to Gran Paradiso National Park.
  • C. Montagnola
    Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
  • D. Poggio
    Poggio is a small village on the Italian island of Elba, known for its scenic hillside setting near Monte Capanne.
  • E. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9bab3a08190a2c36b2c72a1de25 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8619d6f2081908c8b589d4106691f completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86211e4f88190b38bce6441e33b53 completed March 28, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69c862bb95e881909a60608a5279238d completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:53 p.m.