Triple

T18213996
Position Surface form Disambiguated ID Type / Status
Subject Bern Airport E436104 entity
Predicate cityServed P82 FINISHED
Object Federal city of Bern 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: Federal city of Bern | Statement: [Bern Airport, cityServed, Federal city of Bern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Federal city of Bern
Context triple: [Bern Airport, cityServed, Federal city of Bern]
  • A. Bern, Switzerland chosen
    Bern, Switzerland is the de facto capital of Switzerland, known for its well-preserved medieval old town, political institutions, and cultural heritage.
  • B. Geneva and Lausanne
    Geneva and Lausanne are two major Swiss cities on the shores of Lake Geneva, known respectively as a global diplomatic hub and a cultural and educational center.
  • C. Berne
    Berne is the de facto capital city of Switzerland and the seat of its federal government institutions.
  • D. City of Unterwalden
    The City of Unterwalden was a medieval Swiss canton-level community that formed part of the Old Swiss Confederacy and participated in regional conflicts such as the Burgundian Wars.
  • E. Municipality of Geneva
    The Municipality of Geneva is the local government authority responsible for administering the city of Geneva, Switzerland, including its various districts and neighborhoods.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e475953c81909f792793ded2057e completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.