Triple

T23338646
Position Surface form Disambiguated ID Type / Status
Subject Wangen an der Aare E591672 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Bannwil 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: Bannwil | Statement: [Wangen an der Aare, hasNeighboringMunicipality, Bannwil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bannwil
Context triple: [Wangen an der Aare, hasNeighboringMunicipality, Bannwil]
  • A. Bannwil chosen
    Bannwil is a small Swiss municipality in the canton of Bern, situated in the Oberaargau region.
  • B. Burgwald
    Burgwald is a low mountain range in the German state of Hesse, characterized by extensive forests and gently rolling hills.
  • C. Burgwald
    Burgwald is a small settlement in the German region of Westphalia, known for its rural character and proximity to forested landscapes.
  • D. Sigriswil
    Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
  • E. Brunnenthal
    Brunnenthal is a small municipality in the canton of Solothurn in Switzerland.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1983099188190a2e05cf81d62a641 completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:17 p.m.