Triple

T6887994
Position Surface form Disambiguated ID Type / Status
Subject Duke of Jülich-Berg E158969 entity
Predicate titleHolderOf P38 FINISHED
Object Jülich-Berg E625677 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: Jülich-Berg | Statement: [Duke of Jülich-Berg, titleHolderOf, Jülich-Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jülich-Berg
Context triple: [Duke of Jülich-Berg, titleHolderOf, Jülich-Berg]
  • A. Jülich-Berg chosen
    Jülich-Berg was a historical duchy in the Holy Roman Empire located in what is now western Germany, formed by the union of the territories of Jülich and Berg.
  • B. Wachtberg
    Wachtberg is a municipality in the Rhein-Sieg district of North Rhine-Westphalia, Germany, known for its scenic location near Bonn and the Siebengebirge hills.
  • C. Ennigerloh
    Ennigerloh is a small town in the German state of North Rhine-Westphalia, known as the birthplace of mathematician Karl Weierstrass.
  • D. Hangelsberg
    Hangelsberg is a village in the German state of Brandenburg, known as a district of the municipality Grünheide (Mark) in the Oder-Spree region.
  • E. Hermannsberg
    Hermannsberg is a location in Germany known, among other things, as the place where the influential German educator Kurt Hahn died.
  • 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d9101e30819084695ba0003a255c completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748cc2f908190b593cd82133a7b16 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:23 p.m.