Triple

T21654732
Position Surface form Disambiguated ID Type / Status
Subject Lake Moossee E534427 entity
Predicate locatedNorthOf P305 FINISHED
Object 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: city of Bern | Statement: [Lake Moossee, locatedNorthOf, city of Bern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Bern
Context triple: [Lake Moossee, locatedNorthOf, 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. Berne
    Berne is the de facto capital city of Switzerland and the seat of its federal government institutions.
  • C. municipality of Bern
    The municipality of Bern is the local government area encompassing Switzerland’s de facto capital city, responsible for providing public services and administration to its residents.
  • D. 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.
  • E. 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.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59176b28819092384fc5f8968022 completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:36 p.m.