Triple

T13514689
Position Surface form Disambiguated ID Type / Status
Subject Prelude in A-flat major, BWV 862 E322728 entity
Predicate associatedWith P37 FINISHED
Object Köthen E408967 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: Köthen | Statement: [Prelude in A-flat major, BWV 862, associatedWith, Köthen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Köthen
Context triple: [Prelude in A-flat major, BWV 862, associatedWith, Köthen]
  • A. Köthen chosen
    Köthen is a town in the German state of Saxony-Anhalt, historically known as the residence of the Princes of Anhalt and as a significant center of Baroque music, including Johann Sebastian Bach’s tenure there.
  • B. Rudolstadt
    Rudolstadt is a historic town in the German state of Thuringia, known for its picturesque old town, Heidecksburg Castle, and cultural festivals.
  • C. Querfurt
    Querfurt is a small historic town in the German state of Saxony-Anhalt, known for its well-preserved medieval castle and old town.
  • D. Oranienburg
    Oranienburg is a town in Brandenburg, Germany, historically known as the site of the Nazi Sachsenhausen concentration camp.
  • E. Hoyerswerda
    Hoyerswerda is a town in eastern Germany’s Saxony region, historically shaped by lignite mining and now known for its proximity to the emerging Lusatian lake landscape.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf87ca288190a147fbdb2f90985f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff453c189c8190ac73204b7ac68dda completed May 9, 2026, 2:31 p.m.
Created at: April 9, 2026, 9:44 p.m.