Triple

T18380798
Position Surface form Disambiguated ID Type / Status
Subject Giswil E446436 entity
Predicate traversedByRiver P165 FINISHED
Object Sarner Aa NE NERFINISHED

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: Sarner Aa | Statement: [Giswil, traversedByRiver, Sarner Aa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarner Aa
Context triple: [Giswil, traversedByRiver, Sarner Aa]
  • A. Sarner Aa chosen
    Sarner Aa is a river in central Switzerland that drains Lake Sarnen and flows through the canton of Obwalden before reaching Lake Lucerne.
  • B. Albula River
    The Albula River is a mountain river in the canton of Graubünden in eastern Switzerland, known for flowing through the Albula Valley and giving its name to the surrounding Albula Alps.
  • C. Aare
    The Aare is Switzerland’s longest entirely domestic river, flowing through major cities like Bern and feeding several lakes before joining the Rhine.
  • D. Bissone
    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.
  • E. Samedan
    Samedan is a Swiss alpine town in the Upper Engadine region of the canton of Graubünden, known for its role as a transport hub and its proximity to major ski and tourist destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179aa328819097f5ed8193cfa401 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.