Triple

T1624746
Position Surface form Disambiguated ID Type / Status
Subject District of Leipzig E35114 entity
Predicate hasMetropolitanRegion P5155 FINISHED
Object Central German Metropolitan Region E5771 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: Central German Metropolitan Region | Statement: [District of Leipzig, hasMetropolitanRegion, Central German Metropolitan Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central German Metropolitan Region
Context triple: [District of Leipzig, hasMetropolitanRegion, Central German Metropolitan Region]
  • A. Metropolregion Mitteldeutschland chosen
    Metropolregion Mitteldeutschland is a central German metropolitan region and economic alliance that brings together major cities and districts to coordinate regional development, infrastructure, and innovation.
  • B. Berlin-Brandenburg metropolitan region
    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.
  • C. Rhine-Main metropolitan region
    The Rhine-Main metropolitan region is a major German urban and economic hub centered around Frankfurt am Main, known for its finance, transport, and service industries.
  • D. 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.
  • E. Rhine-Neckar metropolitan region
    The Rhine-Neckar metropolitan region is a major trans-state urban and economic area in southwestern Germany centered around the cities of Mannheim, Ludwigshafen, and Heidelberg.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909d19b008190b2224717b2909a78 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6092fdd0819099bde0004de869c4 completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:28 p.m.