Triple

T14917660
Position Surface form Disambiguated ID Type / Status
Subject Wolfram Schultz E371422 entity
Predicate placeOfBirth P1 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: [Wolfram Schultz, placeOfBirth, Fribourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fribourg
Context triple: [Wolfram Schultz, placeOfBirth, 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62038508190946499cd3552990e completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8754ef408190be0e4ea5c35cf000 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 2:32 a.m.