Triple

T8965161
Position Surface form Disambiguated ID Type / Status
Subject Kandern E214111 entity
Predicate locatedInRegion P40 FINISHED
Object Southwestern Germany E102972 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: Southwestern Germany | Statement: [Kandern, locatedInRegion, Southwestern Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southwestern Germany
Context triple: [Kandern, locatedInRegion, Southwestern Germany]
  • A. southwestern Germany chosen
    Southwestern Germany is a region of Germany known for its forested landscapes, wine-growing areas, and proximity to France and Switzerland.
  • B. southern Germany
    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.
  • C. South Hesse
    South Hesse is a region in the southern part of the German state of Hesse that includes major urban and economic centers such as Darmstadt and the Rhine-Main area.
  • D. Rhine-Weser region
    The Rhine-Weser region is a historical area in western Germany associated with the early homeland and formation of the Frankish people.
  • E. Tübingen region
    The Tübingen region is an administrative district in the state of Baden-Württemberg in southwestern Germany, known for its historic university city of Tübingen and a mix of picturesque towns, forests, and lakes.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674c4be8819090d46aba8ab40af3 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02fa2958881908575b7b1e9b40a5e completed April 3, 2026, 9:22 p.m.
Created at: March 30, 2026, 7:01 p.m.