Triple

T16606006
Position Surface form Disambiguated ID Type / Status
Subject Jean Tinguely E403449 entity
Predicate placeOfBirth P1 FINISHED
Object Fribourg, Switzerland 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, Switzerland | Statement: [Jean Tinguely, placeOfBirth, Fribourg, Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fribourg, Switzerland
Context triple: [Jean Tinguely, placeOfBirth, Fribourg, Switzerland]
  • 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. Aigle, Switzerland
    Aigle, Switzerland is a small town in the canton of Vaud known as an international hub for professional cycling and sports administration.
  • C. Lucerne, Switzerland
    Lucerne, Switzerland is a picturesque city in central Switzerland known for its preserved medieval architecture, lakeside setting on Lake Lucerne, and surrounding mountain scenery.
  • D. Bern, Switzerland
    Bern, Switzerland is the de facto capital of Switzerland, known for its well-preserved medieval old town, political institutions, and cultural heritage.
  • E. Lausanne, Switzerland
    Lausanne, Switzerland is a picturesque city on the shores of Lake Geneva known for its role as an Olympic capital and its vibrant cultural and academic life.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e36090cf388190b401c55230912104 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a014136275c819084da2756632e0f48 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:17 a.m.