Triple

T14731249
Position Surface form Disambiguated ID Type / Status
Subject canton of Solothurn E346078 entity
Predicate contains P35 FINISHED
Object Niederbipp E142398 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: Niederbipp | Statement: [canton of Solothurn, contains, Niederbipp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niederbipp
Context triple: [canton of Solothurn, contains, Niederbipp]
  • A. Niederbipp chosen
    Niederbipp is a municipality in the canton of Solothurn in northwestern Switzerland, situated in the Oberaargau region near the Jura Mountains.
  • B. Oberbipp
    Oberbipp is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region at the southern foot of the Jura Mountains.
  • C. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • D. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • E. Bönigen
    Bönigen is a Swiss village in the canton of Bern, known for its scenic location on the shore of Lake Brienz near Interlaken.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26311c8819093a81ff0fa43b33b completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b43360481908dc73d5e6758fea6 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:29 a.m.