Triple

T16017121
Position Surface form Disambiguated ID Type / Status
Subject Melide causeway E388494 entity
Predicate near P350 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: [Melide causeway, near, Bissone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bissone
Context triple: [Melide causeway, near, 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. Rickenbach
    Rickenbach is a locality that forms part of the municipality of Wolfurt in the Austrian state of Vorarlberg.
  • E. Broye
    Broye is a river in western Switzerland that flows through the cantons of Fribourg and Vaud before emptying into Lake Neuchâtel.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18295c6a4819093263db8669d4b08 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe470cd5881909cc0c48b3a540d61 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:55 a.m.