Triple

T16245129
Position Surface form Disambiguated ID Type / Status
Subject Lugano District E394351 entity
Predicate contains P35 FINISHED
Object Sorengo E1040516 NE FINISHED

How this triple was built (2 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: Sorengo | Statement: [Lugano District, contains, Sorengo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sorengo
Context triple: [Lugano District, contains, Sorengo]
  • A. Sorengo chosen
    Sorengo is a small municipality in the canton of Ticino in southern Switzerland, located near Lugano.
  • B. Losone
    Losone is a municipality in the canton of Ticino in southern Switzerland, located near Lake Maggiore in the Italian-speaking region.
  • C. Mergozzo
    Mergozzo is a small Italian lakeside town in the Piedmont region, known for its scenic Lake Mergozzo and proximity to the Alps.
  • D. Plessur
    Plessur is a river in the canton of Graubünden in eastern Switzerland that flows through the city of Chur before joining the Alpine Rhine.
  • E. Blevio
    Blevio is a small lakeside municipality in the Province of Como, Lombardy, Italy, situated on the eastern shore of Lake Como.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24561d250819096f709ea8751fcb9 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003c48c5cc8190ba99154e99942316 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:04 a.m.