Triple

T20187724
Position Surface form Disambiguated ID Type / Status
Subject Wollerau E492905 entity
Predicate sharesBorderWith P224 FINISHED
Object Feusisberg 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: Feusisberg | Statement: [Wollerau, sharesBorderWith, Feusisberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feusisberg
Context triple: [Wollerau, sharesBorderWith, Feusisberg]
  • A. Feusisberg chosen
    Feusisberg is a municipality in the canton of Schwyz in Switzerland, known for its scenic location above Lake Zurich and its favorable tax environment.
  • B. Redoute Bad Godesberg
    Redoute Bad Godesberg is a historic neoclassical event and concert venue in the Bonn district of Bad Godesberg, Germany, known for hosting cultural and social functions.
  • C. Mount Fromme
    Mount Fromme is a popular forested mountain on Vancouver’s North Shore in British Columbia, known for its extensive network of hiking and world-class mountain biking trails.
  • D. Beatenberg
    Beatenberg is a Swiss alpine village in the canton of Bern known for its panoramic views over Lake Thun and the surrounding Bernese Alps.
  • E. Uetliberg
    Uetliberg is a prominent mountain overlooking the Swiss city of Zurich, known for its panoramic views of the city, Lake Zurich, and the Alps.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad2c43c8190a2fc5ef2a0514e53 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.