Triple

T15968789
Position Surface form Disambiguated ID Type / Status
Subject Spenge E387265 entity
Predicate hasTwinTown P919 FINISHED
Object Blomberg E42660 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: Blomberg | Statement: [Spenge, hasTwinTown, Blomberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blomberg
Context triple: [Spenge, hasTwinTown, Blomberg]
  • A. Blomberg chosen
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • B. Franke
    Franke is a variant form of the given name Frank, typically used as a surname or less common personal name in Germanic-speaking regions.
  • C. Huskvarna
    Huskvarna is a Swedish town in Jönköping County best known as the historic home of the Husqvarna manufacturing company, famed for firearms, sewing machines, motorcycles, and outdoor power equipment.
  • D. Wieck
    Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
  • E. Gorenje
    Gorenje is a Slovenian home appliance manufacturer known for producing a wide range of kitchen and household appliances for the European and global markets.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572847f08190830e30125e829766 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe88fa308190942d37cf67458396 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:54 a.m.