Triple

T21996255
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Cottbus E543213 entity
Predicate followedBy P78 FINISHED
Object State of Brandenburg NE NERFINISHED

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: State of Brandenburg | Statement: [Bezirk Cottbus, followedBy, State of Brandenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Brandenburg
Context triple: [Bezirk Cottbus, followedBy, State of Brandenburg]
  • A. 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.
  • B. Brandenburg chosen
    Brandenburg is a federal state in northeastern Germany that surrounds Berlin and is known for its lakes, forests, and historic Prussian heritage.
  • C. Brandenburg
    Brandenburg is a small city in Meade County, Kentucky, situated along the Ohio River and serving as the county seat.
  • D. Circle of Lower Saxony
    The Circle of Lower Saxony was an Imperial Circle of the Holy Roman Empire in northern Germany, encompassing territories such as Brunswick-Lüneburg and parts of Holstein and Mecklenburg.
  • E. State of Bremen
    The State of Bremen is a small federal state in northwestern Germany comprising the cities of Bremen and Bremerhaven, known for its historic Hanseatic heritage and major port facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12765fb0c81908f7b7acda065ee2f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.