Triple

T10079495
Position Surface form Disambiguated ID Type / Status
Subject Brandenburg an der Havel E213860 entity
Predicate isNamedAfter P63 FINISHED
Object Brandenburg region E46660 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: Brandenburg region | Statement: [Brandenburg an der Havel, isNamedAfter, Brandenburg region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brandenburg region
Context triple: [Brandenburg an der Havel, isNamedAfter, Brandenburg region]
  • A. Brandenburg chosen
    Brandenburg is a federal state in northeastern Germany that surrounds Berlin and is known for its lakes, forests, and historic Prussian heritage.
  • B. Brandenburg
    Brandenburg is a small city in Meade County, Kentucky, situated along the Ohio River and serving as the county seat.
  • C. Mecklenburgische Seenplatte district
    The Mecklenburgische Seenplatte district is a large rural district in the German state of Mecklenburg-Vorpommern, renowned for its extensive lake district and natural landscapes.
  • D. Mecklenburg-Vorpommern
    Mecklenburg-Vorpommern is a federal state in northeastern Germany known for its Baltic Sea coastline, numerous lakes, and relatively low population density.
  • E. Province of Brandenburg
    The Province of Brandenburg was a historic Prussian province in northeastern Germany that included the area around Berlin and served as a political and cultural heartland of the region.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd031ce748190bb71189afd331979 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d354e57ea88190922e7eee07fd86f2 completed April 6, 2026, 6:38 a.m.
Created at: March 30, 2026, 9 p.m.