Triple

T15175189
Position Surface form Disambiguated ID Type / Status
Subject House of Zähringen E362589 entity
Predicate founded P104 FINISHED
Object Freiburg im Breisgau E179286 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: Freiburg im Breisgau | Statement: [House of Zähringen, founded, Freiburg im Breisgau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freiburg im Breisgau
Context triple: [House of Zähringen, founded, Freiburg im Breisgau]
  • A. Freiburg im Breisgau chosen
    Freiburg im Breisgau is a historic university city in southwest Germany known for its medieval old town, eco-friendly urban planning, and location at the edge of the Black Forest.
  • B. Freiburg
    Freiburg is the German name for the bilingual Swiss city and canton capital of Fribourg, located in western Switzerland.
  • C. Karlsruhe
    Karlsruhe is a major city in southwestern Germany best known as the seat of the country’s highest courts and a central hub of German constitutional jurisprudence.
  • D. Pforzheim
    Pforzheim is a city in southwestern Germany, historically known for its jewelry and watchmaking industry and its heavy destruction during World War II.
  • E. Böblingen
    Böblingen is a town in the German state of Baden-Württemberg, near Stuttgart, known for its automotive and technology industries and its role as a regional economic center.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0066236d481909e8ac47f496861ad completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef885b07c8190af5e33303af9fbea completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:09 a.m.