Triple

T9206589
Position Surface form Disambiguated ID Type / Status
Subject Briesen E220995 entity
Predicate partOf P40 FINISHED
Object state of Brandenburg 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: state of Brandenburg | Statement: [Briesen, partOf, state of Brandenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: state of Brandenburg
Context triple: [Briesen, partOf, 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. Mecklenburg-Vorpommern
    Mecklenburg-Vorpommern is a federal state in northeastern Germany known for its Baltic Sea coastline, numerous lakes, and relatively low population density.
  • D. 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.
  • E. state of Hesse
    The state of Hesse is a federal state in central Germany known for its financial hub Frankfurt am Main, extensive forests, and significant cultural and economic influence.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b0b6788190908bee67a0c5d48f completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065e49fcc81909ddb838a8ad28c57 completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:26 p.m.