Triple

T4933883
Position Surface form Disambiguated ID Type / Status
Subject Tegeler Werder E110762 entity
Predicate locatedInMetropolitanArea P294 FINISHED
Object Berlin metropolitan region E39254 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: Berlin metropolitan region | Statement: [Tegeler Werder, locatedInMetropolitanArea, Berlin metropolitan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin metropolitan region
Context triple: [Tegeler Werder, locatedInMetropolitanArea, Berlin metropolitan region]
  • A. Berlin-Brandenburg metropolitan region chosen
    The Berlin-Brandenburg metropolitan region is a major German metropolitan area centered on the capital city of Berlin and the surrounding state of Brandenburg, serving as a key political, economic, and cultural hub in Central Europe.
  • B. Hamburg metropolitan region
    The Hamburg metropolitan region is a major economic and population center in northern Germany, anchored by the city of Hamburg and its extensive port and logistics industries.
  • C. Munich metropolitan region
    The Munich metropolitan region is a major economic and cultural hub in southern Germany centered around the city of Munich and encompassing numerous surrounding towns and districts.
  • D. Rhine-Ruhr metropolitan region
    The Rhine-Ruhr metropolitan region is a major polycentric urban and industrial area in western Germany that encompasses several large cities, including Cologne, and forms one of Europe’s largest population and economic centers.
  • E. Nuremberg metropolitan region
    The Nuremberg metropolitan region is a major urban and economic area in northern Bavaria, Germany, centered around the city of Nuremberg and encompassing several surrounding cities and towns.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7066ed548190a76a9559f90e3869 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77b41c4c8190b4f714334242bc9b completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.