Triple

T930043
Position Surface form Disambiguated ID Type / Status
Subject Bern railway station E20069 entity
Predicate locatedNear P294 FINISHED
Object Old City of Bern E81271 NE FINISHED

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: Old City of Bern | Statement: [Bern railway station, locatedNear, Old City of Bern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old City of Bern
Context triple: [Bern railway station, locatedNear, Old City of Bern]
  • A. Old Town of Geneva
    The Old Town of Geneva is the city's historic center, characterized by its medieval streets, landmark St. Peter's Cathedral, and well-preserved architecture overlooking Lake Geneva.
  • B. 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.
  • C. Biel/Bienne
    Biel/Bienne is a bilingual (German-French) Swiss city in the canton of Bern, known for its watchmaking industry and location at the eastern end of Lake Biel.
  • D. Basel-Stadt
    Basel-Stadt is a small, urban Swiss canton centered on the city of Basel, a major cultural and economic hub in northwestern Switzerland.
  • E. Aubonne
    Aubonne is a river in western Switzerland that flows through the canton of Vaud before emptying into Lake Geneva.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b349b3d0819090c58b4fb60c6a1b completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee0f01ac8190b280829dbc5ef102 completed March 4, 2026, 8:32 a.m.
Created at: March 1, 2026, 7:40 p.m.