Triple

T6888006
Position Surface form Disambiguated ID Type / Status
Subject Duke of Jülich-Berg E158969 entity
Predicate follows P134 FINISHED
Object Count of Berg E625679 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: Count of Berg | Statement: [Duke of Jülich-Berg, follows, Count of Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count of Berg
Context triple: [Duke of Jülich-Berg, follows, Count of Berg]
  • A. Count of Berg chosen
    The Count of Berg was a medieval noble title held by the rulers of the County of Berg in the Holy Roman Empire, located in what is now western Germany.
  • B. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • C. Forchtenberg
    Forchtenberg is a small town in the German state of Baden-Württemberg, best known as the birthplace of anti-Nazi resistance figure Sophie Scholl.
  • D. Creutzwald
    Creutzwald is a small industrial town in northeastern France near the German border, known historically for its coal mining and glassmaking industries.
  • E. Neipperg
    Neipperg is a small village in the Heilbronn district of Baden-Württemberg, Germany, known for its surrounding vineyards and wine production.
  • 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.