Triple

T18214176
Position Surface form Disambiguated ID Type / Status
Subject Stadtrat Bern E436109 entity
Predicate country P26 FINISHED
Object Schweiz 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: Schweiz | Statement: [Stadtrat Bern, country, Schweiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schweiz
Context triple: [Stadtrat Bern, country, Schweiz]
  • A. Switzerland chosen
    Switzerland is a landlocked Central European country known for its long-standing neutrality, mountainous landscapes, financial centers, and multilingual, federal political system.
  • B. Switzerland and Liechtenstein
    Switzerland and Liechtenstein are two small, landlocked Central European countries known for their Alpine landscapes, close economic ties, and shared use of the Swiss franc.
  • C. Deutschschweiz
    Deutschschweiz is the predominantly German-speaking region of Switzerland, encompassing major cities like Zurich, Basel, and Bern and forming the country's largest linguistic and cultural area.
  • D. Suize
    The Suize is a small river in northeastern France that flows through the Haute-Marne department and contributes to its local hydrographic network.
  • E. France and Switzerland
    France and Switzerland are neighboring European countries that share part of the western Alpine region and have strong historical, cultural, and economic ties.
  • 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.