Triple

T19598178
Position Surface form Disambiguated ID Type / Status
Subject Julius Kühn Institute E470400 entity
Predicate hasOfficeLocation P1268 FINISHED
Object Dossenheim NE NERFINISHED

How this triple was built (3 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: Dossenheim | Statement: [Julius Kühn Institute, hasOfficeLocation, Dossenheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dossenheim
Context triple: [Julius Kühn Institute, hasOfficeLocation, Dossenheim]
  • A. Dettenheim
    Dettenheim is a municipality in the Karlsruhe district of Baden-Württemberg, Germany, situated along the Pfinz river.
  • B. Ottmarsheim
    Ottmarsheim is a commune in northeastern France’s Alsace region, known for its historic Romanesque church and location along the Rhine.
  • C. Ostelsheim
    Ostelsheim is a small municipality in the northern Black Forest region of Baden-Württemberg in southwestern Germany.
  • D. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • E. Kaulsdorf
    Kaulsdorf is a residential locality in eastern Berlin, Germany, known for its mix of historic village center and post-war housing estates.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dossenheim
Target entity description: Dossenheim is a municipality in southwestern Germany near Heidelberg, known for its agricultural research facilities and scenic location along the Bergstraße.
  • A. Dettenheim
    Dettenheim is a municipality in the Karlsruhe district of Baden-Württemberg, Germany, situated along the Pfinz river.
  • B. Ottmarsheim
    Ottmarsheim is a commune in northeastern France’s Alsace region, known for its historic Romanesque church and location along the Rhine.
  • C. Ostelsheim
    Ostelsheim is a small municipality in the northern Black Forest region of Baden-Württemberg in southwestern Germany.
  • D. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • E. Kaulsdorf
    Kaulsdorf is a residential locality in eastern Berlin, Germany, known for its mix of historic village center and post-war housing estates.
  • F. None of above. chosen

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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407c52c081908704d3a4dd6e853b completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.