Triple

T15187778
Position Surface form Disambiguated ID Type / Status
Subject Verbandsgemeinde Rhein-Mosel E362921 entity
Predicate contains P35 FINISHED
Object Kobern-Gondorf E1148263 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: Kobern-Gondorf | Statement: [Verbandsgemeinde Rhein-Mosel, contains, Kobern-Gondorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kobern-Gondorf
Context triple: [Verbandsgemeinde Rhein-Mosel, contains, Kobern-Gondorf]
  • A. Kobern-Gondorf chosen
    Kobern-Gondorf is a historic wine-growing municipality on the Moselle River in western Germany, known for its medieval castles and picturesque old town.
  • B. Oberkorn
    Oberkorn is a town in southwestern Luxembourg, known as a residential locality within the industrial and cross-border region near Differdange and the Belgian and French borders.
  • C. Scheyern
    Scheyern is a Bavarian municipality best known as the site of Scheyern Abbey, a historic Benedictine monastery and ancestral seat of the Wittelsbach family.
  • D. Pellenz
    Pellenz is a municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • E. Siegbach
    Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067995fc8190b048f15086bd42f0 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01dc23d081908ad6985bae5741ce completed May 9, 2026, 9:43 a.m.
Created at: April 10, 2026, 3:09 a.m.