Triple

T3948186
Position Surface form Disambiguated ID Type / Status
Subject Lake Lugano E84796 entity
Predicate adjacentTown P3883 FINISHED
Object Bissone E89715 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: Bissone | Statement: [Lake Lugano, adjacentTown, Bissone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bissone
Context triple: [Lake Lugano, adjacentTown, Bissone]
  • A. Bissone chosen
    Bissone is a small Swiss municipality on the shores of Lake Lugano in the canton of Ticino, known for its picturesque lakeside setting and historic village center.
  • B. Lütschine
    The Lütschine is a river in the Bernese Oberland region of Switzerland, known for flowing through the Lauterbrunnen and Grindelwald valleys before joining the Aare near Interlaken.
  • C. Breggia
    Breggia is a river in the Lombardy region of northern Italy that flows through the province of Como before entering Switzerland.
  • D. Broye
    Broye is a river in western Switzerland that flows through the cantons of Fribourg and Vaud before emptying into Lake Neuchâtel.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef90f97188190875165e1b5f699e0 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c3de4688190b0eeb2604a65803e completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:30 p.m.