Triple

T12623773
Position Surface form Disambiguated ID Type / Status
Subject Saane basin E301456 entity
Predicate containsCity P294 FINISHED
Object Fribourg E44938 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: Fribourg | Statement: [Saane basin, containsCity, Fribourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fribourg
Context triple: [Saane basin, containsCity, Fribourg]
  • A. Fribourg chosen
    Fribourg is a bilingual Swiss canton in western Switzerland known for its medieval capital city and location at the cultural boundary between French- and German-speaking regions.
  • B. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • C. Lausanne
    Lausanne is a major Swiss city on the shores of Lake Geneva, known for hosting the International Olympic Committee and its vibrant cultural and academic institutions.
  • D. Yverdon-les-Bains
    Yverdon-les-Bains is a historic spa town in western Switzerland known for its thermal baths, medieval castle, and location at the southern end of Lake Neuchâtel.
  • E. Fribourg agglomeration
    Fribourg agglomeration is the urban area centered on the city of Fribourg in western Switzerland, encompassing its surrounding suburban and commuter communities.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610a897c8190a96f3c78d4b270a2 completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ac916748190821c0cdabe54fcbc completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 5:14 p.m.