Triple

T18521680
Position Surface form Disambiguated ID Type / Status
Subject Ziegelhütte E452597 entity
Predicate locatedInRegion P40 FINISHED
Object southern Germany 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: southern Germany | Statement: [Ziegelhütte, locatedInRegion, southern Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: southern Germany
Context triple: [Ziegelhütte, locatedInRegion, southern Germany]
  • A. southern Germany chosen
    Southern Germany is a culturally and economically significant region of Germany known for its Alpine landscapes, historic cities, and strong regional identities such as Bavaria and Baden-Württemberg.
  • B. southwestern Germany
    Southwestern Germany is a region of Germany known for its forested landscapes, wine-growing areas, and proximity to France and Switzerland.
  • C. southern Bavaria
    Southern Bavaria is a region in the southern part of the German state of Bavaria, known for its Alpine landscapes, lakes, and traditional Bavarian culture.
  • D. Upper Germany
    Upper Germany was a Roman imperial province along the upper Rhine frontier, encompassing parts of modern southwestern Germany, eastern France, and Switzerland.
  • E. western Germany
    Western Germany is the region of Germany encompassing its western federal states, historically significant as an industrial heartland and cultural crossroads bordering countries like France, Belgium, and the Netherlands.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338e6e188190a41a4ee12c1ad330 completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.