Triple

T19009461
Position Surface form Disambiguated ID Type / Status
Subject Oberaargau administrative district E465180 entity
Predicate containsSettlement P847 FINISHED
Object Attiswil 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: Attiswil | Statement: [Oberaargau administrative district, containsSettlement, Attiswil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attiswil
Context triple: [Oberaargau administrative district, containsSettlement, Attiswil]
  • A. Attiswil chosen
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • B. Eriswil
    Eriswil is a rural Swiss village and municipality located in the hilly Emmental region of the canton of Bern.
  • C. Amriswil
    Amriswil is a small Swiss town in the canton of Thurgau known for its residential character and local industry.
  • D. Leutwil
    Leutwil is a small municipality in the canton of Aargau in northern Switzerland, known for its rural character and scenic surroundings.
  • E. 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.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a72aa88190a04f13cd14ee77d4 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:02 p.m.