Triple

T7966018
Position Surface form Disambiguated ID Type / Status
Subject Bad Lausick E185206 entity
Predicate locatedInRegion P40 FINISHED
Object Mitteldeutschland E197565 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: Mitteldeutschland | Statement: [Bad Lausick, locatedInRegion, Mitteldeutschland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitteldeutschland
Context triple: [Bad Lausick, locatedInRegion, Mitteldeutschland]
  • A. Central Germany chosen
    Central Germany is a loosely defined region in the middle of the country that encompasses parts of several federal states and serves as a historical, cultural, and economic heartland of Germany.
  • B. Metropolregion Mitteldeutschland
    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.
  • C. Halle (Saale) region
    The Halle (Saale) region is an area in the German state of Saxony-Anhalt centered around the city of Halle, known for its historical significance, industrial heritage, and location along major rivers.
  • D. Northern Germany
    Northern Germany is the northern region of Germany, bordering the North and Baltic Seas and Denmark, known for its flat landscapes, Hanseatic cities, and cultural and linguistic ties to Scandinavia.
  • E. Thuringia
    Thuringia is a federal state in central Germany known for its forested landscapes, historic cities like Weimar and Erfurt, and its rich cultural and intellectual heritage.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ba262208190887169fe94e47b0e completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63b3ddc8819094f353804504c911 completed April 1, 2026, 12:15 a.m.
Created at: March 30, 2026, 5:12 p.m.